diff --git a/docs/api/safeds/data/image/containers/Image.md b/docs/api/safeds/data/image/containers/Image.md
index 1babb894c..694b14c82 100644
--- a/docs/api/safeds/data/image/containers/Image.md
+++ b/docs/api/safeds/data/image/containers/Image.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds abstract class` `Image` {#safeds.data.image.containers.Image data-toc-label='[abstract class] Image'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `Image` {#safeds.data.image.containers.Image data-toc-label='[class] Image'}
 
 A container for image data.
 
@@ -423,7 +423,7 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `channel` {#safeds.data.image.containers.Image.channel data-toc-label='[attr] channel'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `channel` {#safeds.data.image.containers.Image.channel data-toc-label='[attribute] channel'}
 
 Get the number of channels of the image.
 
@@ -437,7 +437,7 @@ pipeline example {
 }
 ```
 
-## `#!sds attr` `height` {#safeds.data.image.containers.Image.height data-toc-label='[attr] height'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `height` {#safeds.data.image.containers.Image.height data-toc-label='[attribute] height'}
 
 Get the height of the image in pixels.
 
@@ -451,13 +451,13 @@ pipeline example {
 }
 ```
 
-## `#!sds attr` `size` {#safeds.data.image.containers.Image.size data-toc-label='[attr] size'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `size` {#safeds.data.image.containers.Image.size data-toc-label='[attribute] size'}
 
 Get the `ImageSize` of the image.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `width` {#safeds.data.image.containers.Image.width data-toc-label='[attr] width'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `width` {#safeds.data.image.containers.Image.width data-toc-label='[attribute] width'}
 
 Get the width of the image in pixels.
 
@@ -471,7 +471,7 @@ pipeline example {
 }
 ```
 
-## `#!sds fun` `addNoise` {#safeds.data.image.containers.Image.addNoise data-toc-label='[fun] addNoise'}
+## <code class="doc-symbol doc-symbol-function"></code> `addNoise` {#safeds.data.image.containers.Image.addNoise data-toc-label='[function] addNoise'}
 
 Return a new `Image` with noise added to the image.
 
@@ -509,7 +509,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `adjustBrightness` {#safeds.data.image.containers.Image.adjustBrightness data-toc-label='[fun] adjustBrightness'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustBrightness` {#safeds.data.image.containers.Image.adjustBrightness data-toc-label='[function] adjustBrightness'}
 
 Return a new `Image` with an adjusted brightness.
 
@@ -547,7 +547,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `adjustColorBalance` {#safeds.data.image.containers.Image.adjustColorBalance data-toc-label='[fun] adjustColorBalance'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustColorBalance` {#safeds.data.image.containers.Image.adjustColorBalance data-toc-label='[function] adjustColorBalance'}
 
 Return a new `Image` with adjusted color balance.
 
@@ -585,7 +585,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `adjustContrast` {#safeds.data.image.containers.Image.adjustContrast data-toc-label='[fun] adjustContrast'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustContrast` {#safeds.data.image.containers.Image.adjustContrast data-toc-label='[function] adjustContrast'}
 
 Return a new `Image` with adjusted contrast.
 
@@ -623,7 +623,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `blur` {#safeds.data.image.containers.Image.blur data-toc-label='[fun] blur'}
+## <code class="doc-symbol doc-symbol-function"></code> `blur` {#safeds.data.image.containers.Image.blur data-toc-label='[function] blur'}
 
 Return a blurred version of the image.
 
@@ -660,7 +660,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `changeChannel` {#safeds.data.image.containers.Image.changeChannel data-toc-label='[fun] changeChannel'}
+## <code class="doc-symbol doc-symbol-function"></code> `changeChannel` {#safeds.data.image.containers.Image.changeChannel data-toc-label='[function] changeChannel'}
 
 Return a new `Image` that has the given number of channels.
 
@@ -688,7 +688,7 @@ The original image is not modified.
     ) -> result1: Image
     ```
 
-## `#!sds fun` `convertToGrayscale` {#safeds.data.image.containers.Image.convertToGrayscale data-toc-label='[fun] convertToGrayscale'}
+## <code class="doc-symbol doc-symbol-function"></code> `convertToGrayscale` {#safeds.data.image.containers.Image.convertToGrayscale data-toc-label='[function] convertToGrayscale'}
 
 Return a new `Image` that is converted to grayscale.
 
@@ -716,7 +716,7 @@ pipeline example {
     fun convertToGrayscale() -> result1: Image
     ```
 
-## `#!sds fun` `crop` {#safeds.data.image.containers.Image.crop data-toc-label='[fun] crop'}
+## <code class="doc-symbol doc-symbol-function"></code> `crop` {#safeds.data.image.containers.Image.crop data-toc-label='[function] crop'}
 
 Return a new `Image` that has been cropped to a given bounding rectangle.
 
@@ -762,7 +762,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `findEdges` {#safeds.data.image.containers.Image.findEdges data-toc-label='[fun] findEdges'}
+## <code class="doc-symbol doc-symbol-function"></code> `findEdges` {#safeds.data.image.containers.Image.findEdges data-toc-label='[function] findEdges'}
 
 Return a grayscale version of the image with the edges highlighted.
 
@@ -790,7 +790,7 @@ pipeline example {
     fun findEdges() -> result1: Image
     ```
 
-## `#!sds fun` `flipHorizontally` {#safeds.data.image.containers.Image.flipHorizontally data-toc-label='[fun] flipHorizontally'}
+## <code class="doc-symbol doc-symbol-function"></code> `flipHorizontally` {#safeds.data.image.containers.Image.flipHorizontally data-toc-label='[function] flipHorizontally'}
 
 Return a new `Image` that is flipped horizontally (vertical axis, flips left-right and vice versa).
 
@@ -818,7 +818,7 @@ pipeline example {
     fun flipHorizontally() -> result1: Image
     ```
 
-## `#!sds fun` `flipVertically` {#safeds.data.image.containers.Image.flipVertically data-toc-label='[fun] flipVertically'}
+## <code class="doc-symbol doc-symbol-function"></code> `flipVertically` {#safeds.data.image.containers.Image.flipVertically data-toc-label='[function] flipVertically'}
 
 Return a new `Image` that is flipped vertically (horizontal axis, flips up-down and vice versa).
 
@@ -846,7 +846,7 @@ pipeline example {
     fun flipVertically() -> result1: Image
     ```
 
-## `#!sds fun` `invertColors` {#safeds.data.image.containers.Image.invertColors data-toc-label='[fun] invertColors'}
+## <code class="doc-symbol doc-symbol-function"></code> `invertColors` {#safeds.data.image.containers.Image.invertColors data-toc-label='[function] invertColors'}
 
 Return a new `Image` with colors inverted.
 
@@ -874,7 +874,7 @@ pipeline example {
     fun invertColors() -> result1: Image
     ```
 
-## `#!sds fun` `resize` {#safeds.data.image.containers.Image.resize data-toc-label='[fun] resize'}
+## <code class="doc-symbol doc-symbol-function"></code> `resize` {#safeds.data.image.containers.Image.resize data-toc-label='[function] resize'}
 
 Return a new `Image` that has been resized to a given size.
 
@@ -914,7 +914,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `rotateLeft` {#safeds.data.image.containers.Image.rotateLeft data-toc-label='[fun] rotateLeft'}
+## <code class="doc-symbol doc-symbol-function"></code> `rotateLeft` {#safeds.data.image.containers.Image.rotateLeft data-toc-label='[function] rotateLeft'}
 
 Return a new `Image` that is rotated 90 degrees counter-clockwise.
 
@@ -942,7 +942,7 @@ pipeline example {
     fun rotateLeft() -> result1: Image
     ```
 
-## `#!sds fun` `rotateRight` {#safeds.data.image.containers.Image.rotateRight data-toc-label='[fun] rotateRight'}
+## <code class="doc-symbol doc-symbol-function"></code> `rotateRight` {#safeds.data.image.containers.Image.rotateRight data-toc-label='[function] rotateRight'}
 
 Return a new `Image` that is rotated 90 degrees clockwise.
 
@@ -970,7 +970,7 @@ pipeline example {
     fun rotateRight() -> result1: Image
     ```
 
-## `#!sds fun` `sharpen` {#safeds.data.image.containers.Image.sharpen data-toc-label='[fun] sharpen'}
+## <code class="doc-symbol doc-symbol-function"></code> `sharpen` {#safeds.data.image.containers.Image.sharpen data-toc-label='[function] sharpen'}
 
 Return a sharpened version of the image.
 
@@ -1007,7 +1007,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `toJpegFile` {#safeds.data.image.containers.Image.toJpegFile data-toc-label='[fun] toJpegFile'}
+## <code class="doc-symbol doc-symbol-function"></code> `toJpegFile` {#safeds.data.image.containers.Image.toJpegFile data-toc-label='[function] toJpegFile'}
 
 Save the image as a JPEG file.
 
@@ -1035,7 +1035,7 @@ pipeline example {
     )
     ```
 
-## `#!sds fun` `toPngFile` {#safeds.data.image.containers.Image.toPngFile data-toc-label='[fun] toPngFile'}
+## <code class="doc-symbol doc-symbol-function"></code> `toPngFile` {#safeds.data.image.containers.Image.toPngFile data-toc-label='[function] toPngFile'}
 
 Save the image as a PNG file.
 
@@ -1063,7 +1063,7 @@ pipeline example {
     )
     ```
 
-## `#!sds static fun` `fromFile` {#safeds.data.image.containers.Image.fromFile data-toc-label='[static fun] fromFile'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromFile` {#safeds.data.image.containers.Image.fromFile data-toc-label='[static-function] fromFile'}
 
 Create an image from a file.
 
diff --git a/docs/api/safeds/data/image/containers/ImageList.md b/docs/api/safeds/data/image/containers/ImageList.md
index 0ee264ecf..8b705ad2b 100644
--- a/docs/api/safeds/data/image/containers/ImageList.md
+++ b/docs/api/safeds/data/image/containers/ImageList.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds abstract class` `ImageList` {#safeds.data.image.containers.ImageList data-toc-label='[abstract class] ImageList'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `ImageList` {#safeds.data.image.containers.ImageList data-toc-label='[class] ImageList'}
 
 An ImageList is a list of different images. It can hold different sizes of Images. The channel of all images is the same.
 
@@ -513,43 +513,43 @@ To create an `ImageList` call one of the following static methods:
     }
     ```
 
-## `#!sds attr` `channel` {#safeds.data.image.containers.ImageList.channel data-toc-label='[attr] channel'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `channel` {#safeds.data.image.containers.ImageList.channel data-toc-label='[attribute] channel'}
 
 Return the channel of all images.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `heights` {#safeds.data.image.containers.ImageList.heights data-toc-label='[attr] heights'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `heights` {#safeds.data.image.containers.ImageList.heights data-toc-label='[attribute] heights'}
 
 Return a list of all heights in this image list.
 
 **Type:** [`List<Int>`][safeds.lang.List]
 
-## `#!sds attr` `imageCount` {#safeds.data.image.containers.ImageList.imageCount data-toc-label='[attr] imageCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `imageCount` {#safeds.data.image.containers.ImageList.imageCount data-toc-label='[attribute] imageCount'}
 
 Return the number of images in this image list.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `sizeCount` {#safeds.data.image.containers.ImageList.sizeCount data-toc-label='[attr] sizeCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `sizeCount` {#safeds.data.image.containers.ImageList.sizeCount data-toc-label='[attribute] sizeCount'}
 
 Return the number of different sizes of images in this image list.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `sizes` {#safeds.data.image.containers.ImageList.sizes data-toc-label='[attr] sizes'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `sizes` {#safeds.data.image.containers.ImageList.sizes data-toc-label='[attribute] sizes'}
 
 Return the sizes of all images.
 
 **Type:** [`List<ImageSize>`][safeds.lang.List]
 
-## `#!sds attr` `widths` {#safeds.data.image.containers.ImageList.widths data-toc-label='[attr] widths'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `widths` {#safeds.data.image.containers.ImageList.widths data-toc-label='[attribute] widths'}
 
 Return a list of all widths in this image list.
 
 **Type:** [`List<Int>`][safeds.lang.List]
 
-## `#!sds fun` `addImage` {#safeds.data.image.containers.ImageList.addImage data-toc-label='[fun] addImage'}
+## <code class="doc-symbol doc-symbol-function"></code> `addImage` {#safeds.data.image.containers.ImageList.addImage data-toc-label='[function] addImage'}
 
 Return a new `ImageList` with the given image added to the image list.
 
@@ -577,7 +577,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `addImages` {#safeds.data.image.containers.ImageList.addImages data-toc-label='[fun] addImages'}
+## <code class="doc-symbol doc-symbol-function"></code> `addImages` {#safeds.data.image.containers.ImageList.addImages data-toc-label='[function] addImages'}
 
 Return a new `ImageList` with the given images added to the image list.
 
@@ -605,7 +605,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `addNoise` {#safeds.data.image.containers.ImageList.addNoise data-toc-label='[fun] addNoise'}
+## <code class="doc-symbol doc-symbol-function"></code> `addNoise` {#safeds.data.image.containers.ImageList.addNoise data-toc-label='[function] addNoise'}
 
 Return a new `ImageList` with noise added to all images.
 
@@ -635,7 +635,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `adjustBrightness` {#safeds.data.image.containers.ImageList.adjustBrightness data-toc-label='[fun] adjustBrightness'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustBrightness` {#safeds.data.image.containers.ImageList.adjustBrightness data-toc-label='[function] adjustBrightness'}
 
 Return a new `ImageList` where all images have the adjusted brightness.
 
@@ -665,7 +665,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `adjustColorBalance` {#safeds.data.image.containers.ImageList.adjustColorBalance data-toc-label='[fun] adjustColorBalance'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustColorBalance` {#safeds.data.image.containers.ImageList.adjustColorBalance data-toc-label='[function] adjustColorBalance'}
 
 Return a new `ImageList` where all images have the adjusted color balance.
 
@@ -695,7 +695,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `adjustContrast` {#safeds.data.image.containers.ImageList.adjustContrast data-toc-label='[fun] adjustContrast'}
+## <code class="doc-symbol doc-symbol-function"></code> `adjustContrast` {#safeds.data.image.containers.ImageList.adjustContrast data-toc-label='[function] adjustContrast'}
 
 Return a new `ImageList` where all images have the adjusted contrast.
 
@@ -725,7 +725,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `blur` {#safeds.data.image.containers.ImageList.blur data-toc-label='[fun] blur'}
+## <code class="doc-symbol doc-symbol-function"></code> `blur` {#safeds.data.image.containers.ImageList.blur data-toc-label='[function] blur'}
 
 Return a new `ImageList` where all images have been blurred.
 
@@ -754,7 +754,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `changeChannel` {#safeds.data.image.containers.ImageList.changeChannel data-toc-label='[fun] changeChannel'}
+## <code class="doc-symbol doc-symbol-function"></code> `changeChannel` {#safeds.data.image.containers.ImageList.changeChannel data-toc-label='[function] changeChannel'}
 
 Return a new `ImageList` that has the given number of channels.
 
@@ -782,7 +782,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `convertToGrayscale` {#safeds.data.image.containers.ImageList.convertToGrayscale data-toc-label='[fun] convertToGrayscale'}
+## <code class="doc-symbol doc-symbol-function"></code> `convertToGrayscale` {#safeds.data.image.containers.ImageList.convertToGrayscale data-toc-label='[function] convertToGrayscale'}
 
 Return a new `ImageList` with all images converted to grayscale.
 
@@ -802,7 +802,7 @@ The original image list is not modified.
     fun convertToGrayscale() -> imageList: ImageList
     ```
 
-## `#!sds fun` `crop` {#safeds.data.image.containers.ImageList.crop data-toc-label='[fun] crop'}
+## <code class="doc-symbol doc-symbol-function"></code> `crop` {#safeds.data.image.containers.ImageList.crop data-toc-label='[function] crop'}
 
 Return a new `ImageList` with all images cropped to a given bounding rectangle.
 
@@ -840,7 +840,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `findEdges` {#safeds.data.image.containers.ImageList.findEdges data-toc-label='[fun] findEdges'}
+## <code class="doc-symbol doc-symbol-function"></code> `findEdges` {#safeds.data.image.containers.ImageList.findEdges data-toc-label='[function] findEdges'}
 
 Return a new `ImageList` with grayscale versions of the images with the edges highlighted.
 
@@ -860,7 +860,7 @@ The original image list is not modified.
     fun findEdges() -> imageList: ImageList
     ```
 
-## `#!sds fun` `flipHorizontally` {#safeds.data.image.containers.ImageList.flipHorizontally data-toc-label='[fun] flipHorizontally'}
+## <code class="doc-symbol doc-symbol-function"></code> `flipHorizontally` {#safeds.data.image.containers.ImageList.flipHorizontally data-toc-label='[function] flipHorizontally'}
 
 Return a new `ImageList` with all images flipped horizontally (vertical axis, flips left-right and vice versa).
 
@@ -880,7 +880,7 @@ The original image list is not modified.
     fun flipHorizontally() -> imageList: ImageList
     ```
 
-## `#!sds fun` `flipVertically` {#safeds.data.image.containers.ImageList.flipVertically data-toc-label='[fun] flipVertically'}
+## <code class="doc-symbol doc-symbol-function"></code> `flipVertically` {#safeds.data.image.containers.ImageList.flipVertically data-toc-label='[function] flipVertically'}
 
 Return a new `ImageList` with all images flipped vertically (horizontal axis, flips up-down and vice versa).
 
@@ -900,7 +900,7 @@ The original image list is not modified.
     fun flipVertically() -> imageList: ImageList
     ```
 
-## `#!sds fun` `getImage` {#safeds.data.image.containers.ImageList.getImage data-toc-label='[fun] getImage'}
+## <code class="doc-symbol doc-symbol-function"></code> `getImage` {#safeds.data.image.containers.ImageList.getImage data-toc-label='[function] getImage'}
 
 Return the image at the given index.
 
@@ -926,7 +926,7 @@ Return the image at the given index.
     ) -> image: Image
     ```
 
-## `#!sds fun` `hasImage` {#safeds.data.image.containers.ImageList.hasImage data-toc-label='[fun] hasImage'}
+## <code class="doc-symbol doc-symbol-function"></code> `hasImage` {#safeds.data.image.containers.ImageList.hasImage data-toc-label='[function] hasImage'}
 
 Return whether the given image is in this image list.
 
@@ -952,7 +952,7 @@ Return whether the given image is in this image list.
     ) -> hasImage: Boolean
     ```
 
-## `#!sds fun` `index` {#safeds.data.image.containers.ImageList.index data-toc-label='[fun] index'}
+## <code class="doc-symbol doc-symbol-function"></code> `index` {#safeds.data.image.containers.ImageList.index data-toc-label='[function] index'}
 
 Return a list of indexes of the given image.
 
@@ -979,7 +979,7 @@ If the image has multiple occurrences, all indices will be returned
     ) -> indices: List<Int>
     ```
 
-## `#!sds fun` `invertColors` {#safeds.data.image.containers.ImageList.invertColors data-toc-label='[fun] invertColors'}
+## <code class="doc-symbol doc-symbol-function"></code> `invertColors` {#safeds.data.image.containers.ImageList.invertColors data-toc-label='[function] invertColors'}
 
 Return a new `ImageList` where all images have their colors inverted.
 
@@ -999,7 +999,7 @@ The original image list is not modified.
     fun invertColors() -> imageList: ImageList
     ```
 
-## `#!sds fun` `removeDuplicateImages` {#safeds.data.image.containers.ImageList.removeDuplicateImages data-toc-label='[fun] removeDuplicateImages'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeDuplicateImages` {#safeds.data.image.containers.ImageList.removeDuplicateImages data-toc-label='[function] removeDuplicateImages'}
 
 Return a new `ImageList` with all duplicate images removed.
 
@@ -1021,7 +1021,7 @@ The original image list is not modified.
     fun removeDuplicateImages() -> imageList: ImageList
     ```
 
-## `#!sds fun` `removeImage` {#safeds.data.image.containers.ImageList.removeImage data-toc-label='[fun] removeImage'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeImage` {#safeds.data.image.containers.ImageList.removeImage data-toc-label='[function] removeImage'}
 
 Return a new `ImageList` with the given image removed from the image list.
 
@@ -1051,7 +1051,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `removeImageByIndex` {#safeds.data.image.containers.ImageList.removeImageByIndex data-toc-label='[fun] removeImageByIndex'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeImageByIndex` {#safeds.data.image.containers.ImageList.removeImageByIndex data-toc-label='[function] removeImageByIndex'}
 
 Return a new `ImageList` with the given indices removed from the image list.
 
@@ -1079,7 +1079,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `removeImages` {#safeds.data.image.containers.ImageList.removeImages data-toc-label='[fun] removeImages'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeImages` {#safeds.data.image.containers.ImageList.removeImages data-toc-label='[function] removeImages'}
 
 Return a new `ImageList` with the given images removed from the image list.
 
@@ -1109,7 +1109,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `removeImagesWithSize` {#safeds.data.image.containers.ImageList.removeImagesWithSize data-toc-label='[fun] removeImagesWithSize'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeImagesWithSize` {#safeds.data.image.containers.ImageList.removeImagesWithSize data-toc-label='[function] removeImagesWithSize'}
 
 Return a new `ImageList` with the all images of the given size removed.
 
@@ -1139,7 +1139,7 @@ The original image list is not modified.
     ) -> imageList: ImageList
     ```
 
-## `#!sds fun` `resize` {#safeds.data.image.containers.ImageList.resize data-toc-label='[fun] resize'}
+## <code class="doc-symbol doc-symbol-function"></code> `resize` {#safeds.data.image.containers.ImageList.resize data-toc-label='[function] resize'}
 
 Return a new `ImageList` with all images resized to a given size.
 
@@ -1171,7 +1171,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `rotateLeft` {#safeds.data.image.containers.ImageList.rotateLeft data-toc-label='[fun] rotateLeft'}
+## <code class="doc-symbol doc-symbol-function"></code> `rotateLeft` {#safeds.data.image.containers.ImageList.rotateLeft data-toc-label='[function] rotateLeft'}
 
 Return a new `ImageList` where all images have been rotated 90 degrees counter-clockwise.
 
@@ -1191,7 +1191,7 @@ The original image list is not modified.
     fun rotateLeft() -> imageList: ImageList
     ```
 
-## `#!sds fun` `rotateRight` {#safeds.data.image.containers.ImageList.rotateRight data-toc-label='[fun] rotateRight'}
+## <code class="doc-symbol doc-symbol-function"></code> `rotateRight` {#safeds.data.image.containers.ImageList.rotateRight data-toc-label='[function] rotateRight'}
 
 Return a new `ImageList` where all images have been rotated 90 degrees clockwise.
 
@@ -1211,7 +1211,7 @@ The original image list is not modified.
     fun rotateRight() -> imageList: ImageList
     ```
 
-## `#!sds fun` `sharpen` {#safeds.data.image.containers.ImageList.sharpen data-toc-label='[fun] sharpen'}
+## <code class="doc-symbol doc-symbol-function"></code> `sharpen` {#safeds.data.image.containers.ImageList.sharpen data-toc-label='[function] sharpen'}
 
 Return a new `ImageList` where all images have been sharpened.
 
@@ -1240,7 +1240,7 @@ The original image list is not modified.
     }
     ```
 
-## `#!sds fun` `shuffleImages` {#safeds.data.image.containers.ImageList.shuffleImages data-toc-label='[fun] shuffleImages'}
+## <code class="doc-symbol doc-symbol-function"></code> `shuffleImages` {#safeds.data.image.containers.ImageList.shuffleImages data-toc-label='[function] shuffleImages'}
 
 Return a new `ImageList` with all images shuffled.
 
@@ -1260,7 +1260,7 @@ The original image list is not modified.
     fun shuffleImages() -> imageList: ImageList
     ```
 
-## `#!sds fun` `toImages` {#safeds.data.image.containers.ImageList.toImages data-toc-label='[fun] toImages'}
+## <code class="doc-symbol doc-symbol-function"></code> `toImages` {#safeds.data.image.containers.ImageList.toImages data-toc-label='[function] toImages'}
 
 Return a list of all images in this image list.
 
@@ -1286,7 +1286,7 @@ Return a list of all images in this image list.
     ) -> images: List<Image>
     ```
 
-## `#!sds fun` `toJpegFiles` {#safeds.data.image.containers.ImageList.toJpegFiles data-toc-label='[fun] toJpegFiles'}
+## <code class="doc-symbol doc-symbol-function"></code> `toJpegFiles` {#safeds.data.image.containers.ImageList.toJpegFiles data-toc-label='[function] toJpegFiles'}
 
 Save all images as jpeg files.
 
@@ -1306,7 +1306,7 @@ Save all images as jpeg files.
     )
     ```
 
-## `#!sds fun` `toPngFiles` {#safeds.data.image.containers.ImageList.toPngFiles data-toc-label='[fun] toPngFiles'}
+## <code class="doc-symbol doc-symbol-function"></code> `toPngFiles` {#safeds.data.image.containers.ImageList.toPngFiles data-toc-label='[function] toPngFiles'}
 
 Save all images as png files.
 
@@ -1326,7 +1326,7 @@ Save all images as png files.
     )
     ```
 
-## `#!sds static fun` `fromFiles` {#safeds.data.image.containers.ImageList.fromFiles data-toc-label='[static fun] fromFiles'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromFiles` {#safeds.data.image.containers.ImageList.fromFiles data-toc-label='[static-function] fromFiles'}
 
 Create an ImageList from a directory or a list of files.
 
@@ -1354,7 +1354,7 @@ If you provide a path to a directory the images will be sorted alphabetically wh
     ) -> imageList: ImageList
     ```
 
-## `#!sds static fun` `fromImages` {#safeds.data.image.containers.ImageList.fromImages data-toc-label='[static fun] fromImages'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromImages` {#safeds.data.image.containers.ImageList.fromImages data-toc-label='[static-function] fromImages'}
 
 Create an ImageList from a list of images.
 
diff --git a/docs/api/safeds/data/image/typing/ImageSize.md b/docs/api/safeds/data/image/typing/ImageSize.md
index 17884dc12..66d1da467 100644
--- a/docs/api/safeds/data/image/typing/ImageSize.md
+++ b/docs/api/safeds/data/image/typing/ImageSize.md
@@ -1,4 +1,4 @@
-# `#!sds class` `ImageSize` {#safeds.data.image.typing.ImageSize data-toc-label='[class] ImageSize'}
+# <code class="doc-symbol doc-symbol-class"></code> `ImageSize` {#safeds.data.image.typing.ImageSize data-toc-label='[class] ImageSize'}
 
 A container for image size data.
 
@@ -48,25 +48,25 @@ A container for image size data.
     }
     ```
 
-## `#!sds attr` `channel` {#safeds.data.image.typing.ImageSize.channel data-toc-label='[attr] channel'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `channel` {#safeds.data.image.typing.ImageSize.channel data-toc-label='[attribute] channel'}
 
 Get the channel of this `ImageSize` in pixels.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `height` {#safeds.data.image.typing.ImageSize.height data-toc-label='[attr] height'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `height` {#safeds.data.image.typing.ImageSize.height data-toc-label='[attribute] height'}
 
 Get the height of this `ImageSize` in pixels.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `width` {#safeds.data.image.typing.ImageSize.width data-toc-label='[attr] width'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `width` {#safeds.data.image.typing.ImageSize.width data-toc-label='[attribute] width'}
 
 Get the width of this `ImageSize` in pixels.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds static fun` `fromImage` {#safeds.data.image.typing.ImageSize.fromImage data-toc-label='[static fun] fromImage'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromImage` {#safeds.data.image.typing.ImageSize.fromImage data-toc-label='[static-function] fromImage'}
 
 Create a `ImageSize` of a given image.
 
diff --git a/docs/api/safeds/data/labeled/containers/Dataset.md b/docs/api/safeds/data/labeled/containers/Dataset.md
index a188a4e39..a0465a92d 100644
--- a/docs/api/safeds/data/labeled/containers/Dataset.md
+++ b/docs/api/safeds/data/labeled/containers/Dataset.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Dataset` {#safeds.data.labeled.containers.Dataset data-toc-label='[abstract class] Dataset'}
+# <code class="doc-symbol doc-symbol-class"></code> `Dataset` {#safeds.data.labeled.containers.Dataset data-toc-label='[class] Dataset'}
 
 A dataset is used as input to machine learning models.
 
diff --git a/docs/api/safeds/data/labeled/containers/ImageDataset.md b/docs/api/safeds/data/labeled/containers/ImageDataset.md
index c92a0a55b..d2ca754d7 100644
--- a/docs/api/safeds/data/labeled/containers/ImageDataset.md
+++ b/docs/api/safeds/data/labeled/containers/ImageDataset.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `ImageDataset` {#safeds.data.labeled.containers.ImageDataset data-toc-label='[class] ImageDataset'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `ImageDataset` {#safeds.data.labeled.containers.ImageDataset data-toc-label='[class] ImageDataset'}
 
 A Dataset for ImageLists as input and ImageLists, Tables or Columns as output.
 
@@ -67,19 +67,19 @@ A Dataset for ImageLists as input and ImageLists, Tables or Columns as output.
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.data.labeled.containers.ImageDataset.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.data.labeled.containers.ImageDataset.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input `ImageSize` of this dataset.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.data.labeled.containers.ImageDataset.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.data.labeled.containers.ImageDataset.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output size of this dataset.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds fun` `getInput` {#safeds.data.labeled.containers.ImageDataset.getInput data-toc-label='[fun] getInput'}
+## <code class="doc-symbol doc-symbol-function"></code> `getInput` {#safeds.data.labeled.containers.ImageDataset.getInput data-toc-label='[function] getInput'}
 
 Get the input data of this dataset.
 
@@ -97,7 +97,7 @@ Get the input data of this dataset.
     fun getInput() -> input: ImageList
     ```
 
-## `#!sds fun` `getOutput` {#safeds.data.labeled.containers.ImageDataset.getOutput data-toc-label='[fun] getOutput'}
+## <code class="doc-symbol doc-symbol-function"></code> `getOutput` {#safeds.data.labeled.containers.ImageDataset.getOutput data-toc-label='[function] getOutput'}
 
 Get the output data of this dataset.
 
@@ -115,7 +115,7 @@ Get the output data of this dataset.
     fun getOutput() -> output: T
     ```
 
-## `#!sds fun` `shuffle` {#safeds.data.labeled.containers.ImageDataset.shuffle data-toc-label='[fun] shuffle'}
+## <code class="doc-symbol doc-symbol-function"></code> `shuffle` {#safeds.data.labeled.containers.ImageDataset.shuffle data-toc-label='[function] shuffle'}
 
 Return a new `ImageDataset` with shuffled data.
 
diff --git a/docs/api/safeds/data/labeled/containers/TabularDataset.md b/docs/api/safeds/data/labeled/containers/TabularDataset.md
index f8232f96e..37be167fc 100644
--- a/docs/api/safeds/data/labeled/containers/TabularDataset.md
+++ b/docs/api/safeds/data/labeled/containers/TabularDataset.md
@@ -1,4 +1,4 @@
-# `#!sds class` `TabularDataset` {#safeds.data.labeled.containers.TabularDataset data-toc-label='[class] TabularDataset'}
+# <code class="doc-symbol doc-symbol-class"></code> `TabularDataset` {#safeds.data.labeled.containers.TabularDataset data-toc-label='[class] TabularDataset'}
 
 A dataset containing tabular data. It can be used to train machine learning models.
 
@@ -71,7 +71,7 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `extras` {#safeds.data.labeled.containers.TabularDataset.extras data-toc-label='[attr] extras'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `extras` {#safeds.data.labeled.containers.TabularDataset.extras data-toc-label='[attribute] extras'}
 
 Additional columns of the tabular dataset that are neither features nor target.
 
@@ -79,19 +79,19 @@ These can be used to store additional information about instances, such as IDs.
 
 **Type:** [`Table`][safeds.data.tabular.containers.Table]
 
-## `#!sds attr` `features` {#safeds.data.labeled.containers.TabularDataset.features data-toc-label='[attr] features'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `features` {#safeds.data.labeled.containers.TabularDataset.features data-toc-label='[attribute] features'}
 
 The feature columns of the tabular dataset.
 
 **Type:** [`Table`][safeds.data.tabular.containers.Table]
 
-## `#!sds attr` `target` {#safeds.data.labeled.containers.TabularDataset.target data-toc-label='[attr] target'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `target` {#safeds.data.labeled.containers.TabularDataset.target data-toc-label='[attribute] target'}
 
 The target column of the tabular dataset.
 
 **Type:** [`Column<Any?>`][safeds.data.tabular.containers.Column]
 
-## `#!sds fun` `toTable` {#safeds.data.labeled.containers.TabularDataset.toTable data-toc-label='[fun] toTable'}
+## <code class="doc-symbol doc-symbol-function"></code> `toTable` {#safeds.data.labeled.containers.TabularDataset.toTable data-toc-label='[function] toTable'}
 
 Return a table containing all columns of the tabular dataset.
 
diff --git a/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md b/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
index f712f06b5..707818ee9 100644
--- a/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
+++ b/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `TimeSeriesDataset` {#safeds.data.labeled.containers.TimeSeriesDataset data-toc-label='[class] TimeSeriesDataset'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `TimeSeriesDataset` {#safeds.data.labeled.containers.TimeSeriesDataset data-toc-label='[class] TimeSeriesDataset'}
 
 A time series dataset maps feature and time columns to a target column. Not like the TabularDataset a TimeSeries needs to contain one target and one time column, but can have empty features.
 
@@ -68,7 +68,7 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `extras` {#safeds.data.labeled.containers.TimeSeriesDataset.extras data-toc-label='[attr] extras'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `extras` {#safeds.data.labeled.containers.TimeSeriesDataset.extras data-toc-label='[attribute] extras'}
 
 Additional columns of the time series dataset that are neither features, target nor time.
 
@@ -76,25 +76,25 @@ These can be used to store additional information about instances, such as IDs.
 
 **Type:** [`Table`][safeds.data.tabular.containers.Table]
 
-## `#!sds attr` `features` {#safeds.data.labeled.containers.TimeSeriesDataset.features data-toc-label='[attr] features'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `features` {#safeds.data.labeled.containers.TimeSeriesDataset.features data-toc-label='[attribute] features'}
 
 The feature columns of the time series dataset.
 
 **Type:** [`Table`][safeds.data.tabular.containers.Table]
 
-## `#!sds attr` `target` {#safeds.data.labeled.containers.TimeSeriesDataset.target data-toc-label='[attr] target'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `target` {#safeds.data.labeled.containers.TimeSeriesDataset.target data-toc-label='[attribute] target'}
 
 The target column of the time series dataset.
 
 **Type:** [`Column<Any>`][safeds.data.tabular.containers.Column]
 
-## `#!sds attr` `time` {#safeds.data.labeled.containers.TimeSeriesDataset.time data-toc-label='[attr] time'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `time` {#safeds.data.labeled.containers.TimeSeriesDataset.time data-toc-label='[attribute] time'}
 
 The time column of the time series dataset.
 
 **Type:** [`Column<Any>`][safeds.data.tabular.containers.Column]
 
-## `#!sds fun` `toTable` {#safeds.data.labeled.containers.TimeSeriesDataset.toTable data-toc-label='[fun] toTable'}
+## <code class="doc-symbol doc-symbol-function"></code> `toTable` {#safeds.data.labeled.containers.TimeSeriesDataset.toTable data-toc-label='[function] toTable'}
 
 Return a new `Table` containing the feature columns, the target column, the time column and the extra columns.
 
diff --git a/docs/api/safeds/data/tabular/containers/Cell.md b/docs/api/safeds/data/tabular/containers/Cell.md
index 945457792..1a67e14dc 100644
--- a/docs/api/safeds/data/tabular/containers/Cell.md
+++ b/docs/api/safeds/data/tabular/containers/Cell.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Cell` {#safeds.data.tabular.containers.Cell data-toc-label='[abstract class] Cell'}
+# <code class="doc-symbol doc-symbol-class"></code> `Cell` {#safeds.data.tabular.containers.Cell data-toc-label='[class] Cell'}
 
 A single value in a table.
 
@@ -299,7 +299,7 @@ This class cannot be instantiated directly. It is only used for arguments of cal
     }
     ```
 
-## `#!sds fun` `abs` {#safeds.data.tabular.containers.Cell.abs data-toc-label='[fun] abs'}
+## <code class="doc-symbol doc-symbol-function"></code> `abs` {#safeds.data.tabular.containers.Cell.abs data-toc-label='[function] abs'}
 
 Get the absolute value.
 
@@ -326,7 +326,7 @@ pipeline example {
     fun abs() -> result: Cell
     ```
 
-## `#!sds fun` `add` {#safeds.data.tabular.containers.Cell.add data-toc-label='[fun] add'}
+## <code class="doc-symbol doc-symbol-function"></code> `add` {#safeds.data.tabular.containers.Cell.add data-toc-label='[function] add'}
 
 Add a value. This WILL LATER BE equivalent to the `+` operator.
 
@@ -361,7 +361,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `and` {#safeds.data.tabular.containers.Cell.and data-toc-label='[fun] and'}
+## <code class="doc-symbol doc-symbol-function"></code> `and` {#safeds.data.tabular.containers.Cell.and data-toc-label='[function] and'}
 
 Perform a boolean AND operation. This WILL LATER BE equivalent to the ^and operator.
 
@@ -397,7 +397,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `ceil` {#safeds.data.tabular.containers.Cell.ceil data-toc-label='[fun] ceil'}
+## <code class="doc-symbol doc-symbol-function"></code> `ceil` {#safeds.data.tabular.containers.Cell.ceil data-toc-label='[function] ceil'}
 
 Round up to the nearest integer.
 
@@ -424,7 +424,7 @@ pipeline example {
     fun ceil() -> result: Cell
     ```
 
-## `#!sds fun` `div` {#safeds.data.tabular.containers.Cell.div data-toc-label='[fun] div'}
+## <code class="doc-symbol doc-symbol-function"></code> `div` {#safeds.data.tabular.containers.Cell.div data-toc-label='[function] div'}
 
 Divide by a value. This WILL LATER BE equivalent to the `/` operator.
 
@@ -459,7 +459,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `eq` {#safeds.data.tabular.containers.Cell.eq data-toc-label='[fun] eq'}
+## <code class="doc-symbol doc-symbol-function"></code> `eq` {#safeds.data.tabular.containers.Cell.eq data-toc-label='[function] eq'}
 
 Check if equal to a value. This WILL LATER BE equivalent to the `==` operator.
 
@@ -494,7 +494,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `floor` {#safeds.data.tabular.containers.Cell.floor data-toc-label='[fun] floor'}
+## <code class="doc-symbol doc-symbol-function"></code> `floor` {#safeds.data.tabular.containers.Cell.floor data-toc-label='[function] floor'}
 
 Round down to the nearest integer.
 
@@ -521,7 +521,7 @@ pipeline example {
     fun floor() -> result: Cell
     ```
 
-## `#!sds fun` `ge` {#safeds.data.tabular.containers.Cell.ge data-toc-label='[fun] ge'}
+## <code class="doc-symbol doc-symbol-function"></code> `ge` {#safeds.data.tabular.containers.Cell.ge data-toc-label='[function] ge'}
 
 Check if greater than or equal to a value. This WILL LATER BE equivalent to the `>=` operator.
 
@@ -556,7 +556,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `gt` {#safeds.data.tabular.containers.Cell.gt data-toc-label='[fun] gt'}
+## <code class="doc-symbol doc-symbol-function"></code> `gt` {#safeds.data.tabular.containers.Cell.gt data-toc-label='[function] gt'}
 
 Check if greater than a value. This WILL LATER BE equivalent to the `>` operator.
 
@@ -591,7 +591,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `le` {#safeds.data.tabular.containers.Cell.le data-toc-label='[fun] le'}
+## <code class="doc-symbol doc-symbol-function"></code> `le` {#safeds.data.tabular.containers.Cell.le data-toc-label='[function] le'}
 
 Check if less than or equal to a value. This WILL LATER BE equivalent to the `<=` operator.
 
@@ -626,7 +626,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `lt` {#safeds.data.tabular.containers.Cell.lt data-toc-label='[fun] lt'}
+## <code class="doc-symbol doc-symbol-function"></code> `lt` {#safeds.data.tabular.containers.Cell.lt data-toc-label='[function] lt'}
 
 Check if less than a value. This WILL LATER BE equivalent to the `<` operator.
 
@@ -661,7 +661,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `mod` {#safeds.data.tabular.containers.Cell.mod data-toc-label='[fun] mod'}
+## <code class="doc-symbol doc-symbol-function"></code> `mod` {#safeds.data.tabular.containers.Cell.mod data-toc-label='[function] mod'}
 
 Perform a modulo operation.
 
@@ -696,7 +696,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `mul` {#safeds.data.tabular.containers.Cell.mul data-toc-label='[fun] mul'}
+## <code class="doc-symbol doc-symbol-function"></code> `mul` {#safeds.data.tabular.containers.Cell.mul data-toc-label='[function] mul'}
 
 Multiply by a value. This WILL LATER BE equivalent to the `*` operator.
 
@@ -731,7 +731,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `neg` {#safeds.data.tabular.containers.Cell.neg data-toc-label='[fun] neg'}
+## <code class="doc-symbol doc-symbol-function"></code> `neg` {#safeds.data.tabular.containers.Cell.neg data-toc-label='[function] neg'}
 
 Negate the value.
 
@@ -758,7 +758,7 @@ pipeline example {
     fun neg() -> result: Cell
     ```
 
-## `#!sds fun` `not` {#safeds.data.tabular.containers.Cell.not data-toc-label='[fun] not'}
+## <code class="doc-symbol doc-symbol-function"></code> `not` {#safeds.data.tabular.containers.Cell.not data-toc-label='[function] not'}
 
 Negate a boolean. This WILL LATER BE equivalent to the ^not operator.
 
@@ -786,7 +786,7 @@ pipeline example {
     fun ^not() -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `or` {#safeds.data.tabular.containers.Cell.or data-toc-label='[fun] or'}
+## <code class="doc-symbol doc-symbol-function"></code> `or` {#safeds.data.tabular.containers.Cell.or data-toc-label='[function] or'}
 
 Perform a boolean OR operation. This WILL LATER BE equivalent to the ^or operator.
 
@@ -822,7 +822,7 @@ pipeline example {
     ) -> result: Cell<Boolean>
     ```
 
-## `#!sds fun` `pow` {#safeds.data.tabular.containers.Cell.pow data-toc-label='[fun] pow'}
+## <code class="doc-symbol doc-symbol-function"></code> `pow` {#safeds.data.tabular.containers.Cell.pow data-toc-label='[function] pow'}
 
 Raise to a power.
 
@@ -857,7 +857,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `sub` {#safeds.data.tabular.containers.Cell.sub data-toc-label='[fun] sub'}
+## <code class="doc-symbol doc-symbol-function"></code> `sub` {#safeds.data.tabular.containers.Cell.sub data-toc-label='[function] sub'}
 
 Subtract a value. This WILL LATER BE equivalent to the `-` operator.
 
@@ -892,7 +892,7 @@ pipeline example {
     ) -> result: Cell
     ```
 
-## `#!sds fun` `xor` {#safeds.data.tabular.containers.Cell.xor data-toc-label='[fun] xor'}
+## <code class="doc-symbol doc-symbol-function"></code> `xor` {#safeds.data.tabular.containers.Cell.xor data-toc-label='[function] xor'}
 
 Perform a boolean XOR operation.
 
diff --git a/docs/api/safeds/data/tabular/containers/Column.md b/docs/api/safeds/data/tabular/containers/Column.md
index a6bdd1c8a..9e18f8f77 100644
--- a/docs/api/safeds/data/tabular/containers/Column.md
+++ b/docs/api/safeds/data/tabular/containers/Column.md
@@ -1,4 +1,4 @@
-# `#!sds class` `Column` {#safeds.data.tabular.containers.Column data-toc-label='[class] Column'}
+# <code class="doc-symbol doc-symbol-class"></code> `Column` {#safeds.data.tabular.containers.Column data-toc-label='[class] Column'}
 
 A named, one-dimensional collection of homogeneous values.
 
@@ -398,43 +398,43 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isNumeric` {#safeds.data.tabular.containers.Column.isNumeric data-toc-label='[attr] isNumeric'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isNumeric` {#safeds.data.tabular.containers.Column.isNumeric data-toc-label='[attribute] isNumeric'}
 
 Whether the column is numeric.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `isTemporal` {#safeds.data.tabular.containers.Column.isTemporal data-toc-label='[attr] isTemporal'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isTemporal` {#safeds.data.tabular.containers.Column.isTemporal data-toc-label='[attribute] isTemporal'}
 
 Whether the column is temporal.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `name` {#safeds.data.tabular.containers.Column.name data-toc-label='[attr] name'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `name` {#safeds.data.tabular.containers.Column.name data-toc-label='[attribute] name'}
 
 The name of the column.
 
 **Type:** [`String`][safeds.lang.String]
 
-## `#!sds attr` `plot` {#safeds.data.tabular.containers.Column.plot data-toc-label='[attr] plot'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `plot` {#safeds.data.tabular.containers.Column.plot data-toc-label='[attribute] plot'}
 
 The plotter for the column.
 
 **Type:** [`ColumnPlotter`][safeds.data.tabular.plotting.ColumnPlotter]
 
-## `#!sds attr` `rowCount` {#safeds.data.tabular.containers.Column.rowCount data-toc-label='[attr] rowCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `rowCount` {#safeds.data.tabular.containers.Column.rowCount data-toc-label='[attribute] rowCount'}
 
 The number of rows in the column.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `type` {#safeds.data.tabular.containers.Column.type data-toc-label='[attr] type'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `type` {#safeds.data.tabular.containers.Column.type data-toc-label='[attribute] type'}
 
 The type of the column.
 
 **Type:** [`DataType`][safeds.data.tabular.typing.DataType]
 
-## `#!sds fun` `correlationWith` {#safeds.data.tabular.containers.Column.correlationWith data-toc-label='[fun] correlationWith'}
+## <code class="doc-symbol doc-symbol-function"></code> `correlationWith` {#safeds.data.tabular.containers.Column.correlationWith data-toc-label='[function] correlationWith'}
 
 Calculate the Pearson correlation between this column and another column.
 
@@ -484,7 +484,7 @@ pipeline example {
     ) -> correlation: Float
     ```
 
-## `#!sds fun` `distinctValueCount` {#safeds.data.tabular.containers.Column.distinctValueCount data-toc-label='[fun] distinctValueCount'}
+## <code class="doc-symbol doc-symbol-function"></code> `distinctValueCount` {#safeds.data.tabular.containers.Column.distinctValueCount data-toc-label='[function] distinctValueCount'}
 
 Return the number of distinct values in the column.
 
@@ -519,7 +519,7 @@ pipeline example {
     ) -> distinctValueCount: Int
     ```
 
-## `#!sds fun` `getValue` {#safeds.data.tabular.containers.Column.getValue data-toc-label='[fun] getValue'}
+## <code class="doc-symbol doc-symbol-function"></code> `getValue` {#safeds.data.tabular.containers.Column.getValue data-toc-label='[function] getValue'}
 
 Return the column value at specified index.
 
@@ -557,7 +557,7 @@ pipeline example {
     ) -> value: T
     ```
 
-## `#!sds fun` `idness` {#safeds.data.tabular.containers.Column.idness data-toc-label='[fun] idness'}
+## <code class="doc-symbol doc-symbol-function"></code> `idness` {#safeds.data.tabular.containers.Column.idness data-toc-label='[function] idness'}
 
 Calculate the idness of this column.
 
@@ -595,7 +595,7 @@ pipeline example {
     fun idness() -> idness: Float
     ```
 
-## `#!sds fun` `max` {#safeds.data.tabular.containers.Column.max data-toc-label='[fun] max'}
+## <code class="doc-symbol doc-symbol-function"></code> `max` {#safeds.data.tabular.containers.Column.max data-toc-label='[function] max'}
 
 Return the maximum value in the column.
 
@@ -621,7 +621,7 @@ pipeline example {
     fun max() -> max: T?
     ```
 
-## `#!sds fun` `mean` {#safeds.data.tabular.containers.Column.mean data-toc-label='[fun] mean'}
+## <code class="doc-symbol doc-symbol-function"></code> `mean` {#safeds.data.tabular.containers.Column.mean data-toc-label='[function] mean'}
 
 Return the mean of the values in the column.
 
@@ -649,7 +649,7 @@ pipeline example {
     fun mean() -> mean: T
     ```
 
-## `#!sds fun` `median` {#safeds.data.tabular.containers.Column.median data-toc-label='[fun] median'}
+## <code class="doc-symbol doc-symbol-function"></code> `median` {#safeds.data.tabular.containers.Column.median data-toc-label='[function] median'}
 
 Return the median of the values in the column.
 
@@ -678,7 +678,7 @@ pipeline example {
     fun median() -> median: T
     ```
 
-## `#!sds fun` `min` {#safeds.data.tabular.containers.Column.min data-toc-label='[fun] min'}
+## <code class="doc-symbol doc-symbol-function"></code> `min` {#safeds.data.tabular.containers.Column.min data-toc-label='[function] min'}
 
 Return the minimum value in the column.
 
@@ -704,7 +704,7 @@ pipeline example {
     fun min() -> min: T?
     ```
 
-## `#!sds fun` `missingValueCount` {#safeds.data.tabular.containers.Column.missingValueCount data-toc-label='[fun] missingValueCount'}
+## <code class="doc-symbol doc-symbol-function"></code> `missingValueCount` {#safeds.data.tabular.containers.Column.missingValueCount data-toc-label='[function] missingValueCount'}
 
 Return the number of missing values in the column.
 
@@ -731,7 +731,7 @@ pipeline example {
     fun missingValueCount() -> missingValueCount: Int
     ```
 
-## `#!sds fun` `missingValueRatio` {#safeds.data.tabular.containers.Column.missingValueRatio data-toc-label='[fun] missingValueRatio'}
+## <code class="doc-symbol doc-symbol-function"></code> `missingValueRatio` {#safeds.data.tabular.containers.Column.missingValueRatio data-toc-label='[function] missingValueRatio'}
 
 Return the missing value ratio.
 
@@ -764,7 +764,7 @@ pipeline example {
     fun missingValueRatio() -> missingValueRatio: Float
     ```
 
-## `#!sds fun` `rename` {#safeds.data.tabular.containers.Column.rename data-toc-label='[fun] rename'}
+## <code class="doc-symbol doc-symbol-function"></code> `rename` {#safeds.data.tabular.containers.Column.rename data-toc-label='[function] rename'}
 
 Return a new column with a new name.
 
@@ -801,7 +801,7 @@ pipeline example {
     ) -> renamedColumn: Column<T>
     ```
 
-## `#!sds fun` `stability` {#safeds.data.tabular.containers.Column.stability data-toc-label='[fun] stability'}
+## <code class="doc-symbol doc-symbol-function"></code> `stability` {#safeds.data.tabular.containers.Column.stability data-toc-label='[function] stability'}
 
 Return the stability of the column.
 
@@ -833,7 +833,7 @@ pipeline example {
     fun stability() -> stability: Float
     ```
 
-## `#!sds fun` `standardDeviation` {#safeds.data.tabular.containers.Column.standardDeviation data-toc-label='[fun] standardDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `standardDeviation` {#safeds.data.tabular.containers.Column.standardDeviation data-toc-label='[function] standardDeviation'}
 
 Return the standard deviation of the values in the column.
 
@@ -862,7 +862,7 @@ pipeline example {
     fun standardDeviation() -> standardDeviation: Float
     ```
 
-## `#!sds fun` `summarizeStatistics` {#safeds.data.tabular.containers.Column.summarizeStatistics data-toc-label='[fun] summarizeStatistics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeStatistics` {#safeds.data.tabular.containers.Column.summarizeStatistics data-toc-label='[function] summarizeStatistics'}
 
 Return a table with important statistics about the column.
 
@@ -889,7 +889,7 @@ pipeline example {
     fun summarizeStatistics() -> statistics: Table
     ```
 
-## `#!sds fun` `toList` {#safeds.data.tabular.containers.Column.toList data-toc-label='[fun] toList'}
+## <code class="doc-symbol doc-symbol-function"></code> `toList` {#safeds.data.tabular.containers.Column.toList data-toc-label='[function] toList'}
 
 Return the values of the column in a list.
 
@@ -916,7 +916,7 @@ pipeline example {
     fun toList() -> values: List<T>
     ```
 
-## `#!sds fun` `toTable` {#safeds.data.tabular.containers.Column.toTable data-toc-label='[fun] toTable'}
+## <code class="doc-symbol doc-symbol-function"></code> `toTable` {#safeds.data.tabular.containers.Column.toTable data-toc-label='[function] toTable'}
 
 Create a table that contains only this column.
 
@@ -944,7 +944,7 @@ pipeline example {
     fun toTable() -> table: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.containers.Column.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.containers.Column.transform data-toc-label='[function] transform'}
 
 Return a new column with values transformed by the transformer.
 
@@ -987,7 +987,7 @@ pipeline example {
     ) -> transformedColumn: Column<R>
     ```
 
-## `#!sds fun` `variance` {#safeds.data.tabular.containers.Column.variance data-toc-label='[fun] variance'}
+## <code class="doc-symbol doc-symbol-function"></code> `variance` {#safeds.data.tabular.containers.Column.variance data-toc-label='[function] variance'}
 
 Return the variance of the values in the column.
 
diff --git a/docs/api/safeds/data/tabular/containers/Row.md b/docs/api/safeds/data/tabular/containers/Row.md
index 12d4facf4..33997bd3d 100644
--- a/docs/api/safeds/data/tabular/containers/Row.md
+++ b/docs/api/safeds/data/tabular/containers/Row.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Row` {#safeds.data.tabular.containers.Row data-toc-label='[abstract class] Row'}
+# <code class="doc-symbol doc-symbol-class"></code> `Row` {#safeds.data.tabular.containers.Row data-toc-label='[class] Row'}
 
 A one-dimensional collection of named, heterogeneous values.
 
@@ -67,25 +67,25 @@ This class cannot be instantiated directly. It is only used for arguments of cal
     }
     ```
 
-## `#!sds attr` `columnCount` {#safeds.data.tabular.containers.Row.columnCount data-toc-label='[attr] columnCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `columnCount` {#safeds.data.tabular.containers.Row.columnCount data-toc-label='[attribute] columnCount'}
 
 The number of columns in the row.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `columnNames` {#safeds.data.tabular.containers.Row.columnNames data-toc-label='[attr] columnNames'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `columnNames` {#safeds.data.tabular.containers.Row.columnNames data-toc-label='[attribute] columnNames'}
 
 The names of the columns in the row.
 
 **Type:** [`List<String>`][safeds.lang.List]
 
-## `#!sds attr` `schema` {#safeds.data.tabular.containers.Row.schema data-toc-label='[attr] schema'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `schema` {#safeds.data.tabular.containers.Row.schema data-toc-label='[attribute] schema'}
 
 The schema of the row.
 
 **Type:** [`Schema`][safeds.data.tabular.typing.Schema]
 
-## `#!sds fun` `getColumnType` {#safeds.data.tabular.containers.Row.getColumnType data-toc-label='[fun] getColumnType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getColumnType` {#safeds.data.tabular.containers.Row.getColumnType data-toc-label='[function] getColumnType'}
 
 Get the type of the specified column.
 
@@ -111,7 +111,7 @@ Get the type of the specified column.
     ) -> type: DataType
     ```
 
-## `#!sds fun` `getValue` {#safeds.data.tabular.containers.Row.getValue data-toc-label='[fun] getValue'}
+## <code class="doc-symbol doc-symbol-function"></code> `getValue` {#safeds.data.tabular.containers.Row.getValue data-toc-label='[function] getValue'}
 
 Get the value of the specified column.
 
@@ -137,7 +137,7 @@ Get the value of the specified column.
     ) -> value: Cell<Any>
     ```
 
-## `#!sds fun` `hasColumn` {#safeds.data.tabular.containers.Row.hasColumn data-toc-label='[fun] hasColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `hasColumn` {#safeds.data.tabular.containers.Row.hasColumn data-toc-label='[function] hasColumn'}
 
 Check if the row has a column with the specified name.
 
diff --git a/docs/api/safeds/data/tabular/containers/Table.md b/docs/api/safeds/data/tabular/containers/Table.md
index 561480a24..2173e2962 100644
--- a/docs/api/safeds/data/tabular/containers/Table.md
+++ b/docs/api/safeds/data/tabular/containers/Table.md
@@ -1,4 +1,4 @@
-# `#!sds class` `Table` {#safeds.data.tabular.containers.Table data-toc-label='[class] Table'}
+# <code class="doc-symbol doc-symbol-class"></code> `Table` {#safeds.data.tabular.containers.Table data-toc-label='[class] Table'}
 
 A two-dimensional collection of data. It can either be seen as a list of rows or as a list of columns.
 
@@ -962,25 +962,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `columnCount` {#safeds.data.tabular.containers.Table.columnCount data-toc-label='[attr] columnCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `columnCount` {#safeds.data.tabular.containers.Table.columnCount data-toc-label='[attribute] columnCount'}
 
 The number of columns in the table.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `columnNames` {#safeds.data.tabular.containers.Table.columnNames data-toc-label='[attr] columnNames'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `columnNames` {#safeds.data.tabular.containers.Table.columnNames data-toc-label='[attribute] columnNames'}
 
 The names of the columns in the table.
 
 **Type:** [`List<String>`][safeds.lang.List]
 
-## `#!sds attr` `plot` {#safeds.data.tabular.containers.Table.plot data-toc-label='[attr] plot'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `plot` {#safeds.data.tabular.containers.Table.plot data-toc-label='[attribute] plot'}
 
 The plotter for the table.
 
 **Type:** [`TablePlotter`][safeds.data.tabular.plotting.TablePlotter]
 
-## `#!sds attr` `rowCount` {#safeds.data.tabular.containers.Table.rowCount data-toc-label='[attr] rowCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `rowCount` {#safeds.data.tabular.containers.Table.rowCount data-toc-label='[attribute] rowCount'}
 
 The number of rows in the table.
 
@@ -988,13 +988,13 @@ The number of rows in the table.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `schema` {#safeds.data.tabular.containers.Table.schema data-toc-label='[attr] schema'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `schema` {#safeds.data.tabular.containers.Table.schema data-toc-label='[attribute] schema'}
 
 The schema of the table.
 
 **Type:** [`Schema`][safeds.data.tabular.typing.Schema]
 
-## `#!sds fun` `addColumns` {#safeds.data.tabular.containers.Table.addColumns data-toc-label='[fun] addColumns'}
+## <code class="doc-symbol doc-symbol-function"></code> `addColumns` {#safeds.data.tabular.containers.Table.addColumns data-toc-label='[function] addColumns'}
 
 Return a new table with additional columns.
 
@@ -1035,7 +1035,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `addComputedColumn` {#safeds.data.tabular.containers.Table.addComputedColumn data-toc-label='[fun] addComputedColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `addComputedColumn` {#safeds.data.tabular.containers.Table.addComputedColumn data-toc-label='[function] addComputedColumn'}
 
 Return a new table with an additional computed column.
 
@@ -1074,7 +1074,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `addTableAsColumns` {#safeds.data.tabular.containers.Table.addTableAsColumns data-toc-label='[fun] addTableAsColumns'}
+## <code class="doc-symbol doc-symbol-function"></code> `addTableAsColumns` {#safeds.data.tabular.containers.Table.addTableAsColumns data-toc-label='[function] addTableAsColumns'}
 
 Return a new table with the columns of another table added.
 
@@ -1116,7 +1116,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `addTableAsRows` {#safeds.data.tabular.containers.Table.addTableAsRows data-toc-label='[fun] addTableAsRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `addTableAsRows` {#safeds.data.tabular.containers.Table.addTableAsRows data-toc-label='[function] addTableAsRows'}
 
 Return a new table with the rows of another table added.
 
@@ -1158,7 +1158,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `getColumn` {#safeds.data.tabular.containers.Table.getColumn data-toc-label='[fun] getColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `getColumn` {#safeds.data.tabular.containers.Table.getColumn data-toc-label='[function] getColumn'}
 
 Get a column from the table.
 
@@ -1196,7 +1196,7 @@ pipeline example {
     ) -> column: Column
     ```
 
-## `#!sds fun` `getColumnType` {#safeds.data.tabular.containers.Table.getColumnType data-toc-label='[fun] getColumnType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getColumnType` {#safeds.data.tabular.containers.Table.getColumnType data-toc-label='[function] getColumnType'}
 
 Get the data type of a column.
 
@@ -1231,7 +1231,7 @@ pipeline example {
     ) -> type: DataType
     ```
 
-## `#!sds fun` `hasColumn` {#safeds.data.tabular.containers.Table.hasColumn data-toc-label='[fun] hasColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `hasColumn` {#safeds.data.tabular.containers.Table.hasColumn data-toc-label='[function] hasColumn'}
 
 Check if the table has a column with a specific name.
 
@@ -1266,7 +1266,7 @@ pipeline example {
     ) -> hasColumn: Boolean
     ```
 
-## `#!sds fun` `inverseTransformTable` {#safeds.data.tabular.containers.Table.inverseTransformTable data-toc-label='[fun] inverseTransformTable'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransformTable` {#safeds.data.tabular.containers.Table.inverseTransformTable data-toc-label='[function] inverseTransformTable'}
 
 Return a new table inverse-transformed by a **fitted, invertible** transformer.
 
@@ -1308,7 +1308,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeColumns` {#safeds.data.tabular.containers.Table.removeColumns data-toc-label='[fun] removeColumns'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeColumns` {#safeds.data.tabular.containers.Table.removeColumns data-toc-label='[function] removeColumns'}
 
 Return a new table without the specified columns.
 
@@ -1357,7 +1357,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeColumnsExcept` {#safeds.data.tabular.containers.Table.removeColumnsExcept data-toc-label='[fun] removeColumnsExcept'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeColumnsExcept` {#safeds.data.tabular.containers.Table.removeColumnsExcept data-toc-label='[function] removeColumnsExcept'}
 
 Return a new table with only the specified columns.
 
@@ -1393,7 +1393,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeColumnsWithMissingValues` {#safeds.data.tabular.containers.Table.removeColumnsWithMissingValues data-toc-label='[fun] removeColumnsWithMissingValues'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeColumnsWithMissingValues` {#safeds.data.tabular.containers.Table.removeColumnsWithMissingValues data-toc-label='[function] removeColumnsWithMissingValues'}
 
 Return a new table without columns that contain missing values.
 
@@ -1426,7 +1426,7 @@ pipeline example {
     fun removeColumnsWithMissingValues() -> newTable: Table
     ```
 
-## `#!sds fun` `removeDuplicateRows` {#safeds.data.tabular.containers.Table.removeDuplicateRows data-toc-label='[fun] removeDuplicateRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeDuplicateRows` {#safeds.data.tabular.containers.Table.removeDuplicateRows data-toc-label='[function] removeDuplicateRows'}
 
 Return a new table without duplicate rows.
 
@@ -1456,7 +1456,7 @@ pipeline example {
     fun removeDuplicateRows() -> newTable: Table
     ```
 
-## `#!sds fun` `removeNonNumericColumns` {#safeds.data.tabular.containers.Table.removeNonNumericColumns data-toc-label='[fun] removeNonNumericColumns'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeNonNumericColumns` {#safeds.data.tabular.containers.Table.removeNonNumericColumns data-toc-label='[function] removeNonNumericColumns'}
 
 Return a new table without non-numeric columns.
 
@@ -1486,7 +1486,7 @@ pipeline example {
     fun removeNonNumericColumns() -> newTable: Table
     ```
 
-## `#!sds fun` `removeRows` {#safeds.data.tabular.containers.Table.removeRows data-toc-label='[fun] removeRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeRows` {#safeds.data.tabular.containers.Table.removeRows data-toc-label='[function] removeRows'}
 
 Return a new table without rows that satisfy a condition.
 
@@ -1524,7 +1524,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeRowsByColumn` {#safeds.data.tabular.containers.Table.removeRowsByColumn data-toc-label='[fun] removeRowsByColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeRowsByColumn` {#safeds.data.tabular.containers.Table.removeRowsByColumn data-toc-label='[function] removeRowsByColumn'}
 
 Return a new table without rows that satisfy a condition on a specific column.
 
@@ -1564,7 +1564,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeRowsWithMissingValues` {#safeds.data.tabular.containers.Table.removeRowsWithMissingValues data-toc-label='[fun] removeRowsWithMissingValues'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeRowsWithMissingValues` {#safeds.data.tabular.containers.Table.removeRowsWithMissingValues data-toc-label='[function] removeRowsWithMissingValues'}
 
 Return a new table without rows containing missing values in the specified columns.
 
@@ -1602,7 +1602,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `removeRowsWithOutliers` {#safeds.data.tabular.containers.Table.removeRowsWithOutliers data-toc-label='[fun] removeRowsWithOutliers'}
+## <code class="doc-symbol doc-symbol-function"></code> `removeRowsWithOutliers` {#safeds.data.tabular.containers.Table.removeRowsWithOutliers data-toc-label='[function] removeRowsWithOutliers'}
 
 Return a new table without rows containing outliers in the specified columns.
 
@@ -1658,7 +1658,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `renameColumn` {#safeds.data.tabular.containers.Table.renameColumn data-toc-label='[fun] renameColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `renameColumn` {#safeds.data.tabular.containers.Table.renameColumn data-toc-label='[function] renameColumn'}
 
 Return a new table with a column renamed.
 
@@ -1698,7 +1698,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `replaceColumn` {#safeds.data.tabular.containers.Table.replaceColumn data-toc-label='[fun] replaceColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `replaceColumn` {#safeds.data.tabular.containers.Table.replaceColumn data-toc-label='[function] replaceColumn'}
 
 Return a new table with a column replaced by zero or more columns.
 
@@ -1738,7 +1738,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `shuffleRows` {#safeds.data.tabular.containers.Table.shuffleRows data-toc-label='[fun] shuffleRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `shuffleRows` {#safeds.data.tabular.containers.Table.shuffleRows data-toc-label='[function] shuffleRows'}
 
 Return a new table with the rows shuffled.
 
@@ -1768,7 +1768,7 @@ pipeline example {
     fun shuffleRows() -> newTable: Table
     ```
 
-## `#!sds fun` `sliceRows` {#safeds.data.tabular.containers.Table.sliceRows data-toc-label='[fun] sliceRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `sliceRows` {#safeds.data.tabular.containers.Table.sliceRows data-toc-label='[function] sliceRows'}
 
 Return a new table with a slice of rows.
 
@@ -1815,7 +1815,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `sortRows` {#safeds.data.tabular.containers.Table.sortRows data-toc-label='[fun] sortRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `sortRows` {#safeds.data.tabular.containers.Table.sortRows data-toc-label='[function] sortRows'}
 
 Return a new table with the rows sorted.
 
@@ -1855,7 +1855,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `sortRowsByColumn` {#safeds.data.tabular.containers.Table.sortRowsByColumn data-toc-label='[fun] sortRowsByColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `sortRowsByColumn` {#safeds.data.tabular.containers.Table.sortRowsByColumn data-toc-label='[function] sortRowsByColumn'}
 
 Return a new table with the rows sorted by a specific column.
 
@@ -1895,7 +1895,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `splitRows` {#safeds.data.tabular.containers.Table.splitRows data-toc-label='[fun] splitRows'}
+## <code class="doc-symbol doc-symbol-function"></code> `splitRows` {#safeds.data.tabular.containers.Table.splitRows data-toc-label='[function] splitRows'}
 
 Create two tables by splitting the rows of the current table.
 
@@ -1941,7 +1941,7 @@ pipeline example {
     ) -> (firstTable: Table, secondTable: Table)
     ```
 
-## `#!sds fun` `summarizeStatistics` {#safeds.data.tabular.containers.Table.summarizeStatistics data-toc-label='[fun] summarizeStatistics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeStatistics` {#safeds.data.tabular.containers.Table.summarizeStatistics data-toc-label='[function] summarizeStatistics'}
 
 Return a table with important statistics about this table.
 
@@ -1968,7 +1968,7 @@ pipeline example {
     fun summarizeStatistics() -> statistics: Table
     ```
 
-## `#!sds fun` `toColumns` {#safeds.data.tabular.containers.Table.toColumns data-toc-label='[fun] toColumns'}
+## <code class="doc-symbol doc-symbol-function"></code> `toColumns` {#safeds.data.tabular.containers.Table.toColumns data-toc-label='[function] toColumns'}
 
 Return the data of the table as a list of columns.
 
@@ -1995,7 +1995,7 @@ pipeline example {
     fun toColumns() -> columns: List<Column>
     ```
 
-## `#!sds fun` `toCsvFile` {#safeds.data.tabular.containers.Table.toCsvFile data-toc-label='[fun] toCsvFile'}
+## <code class="doc-symbol doc-symbol-function"></code> `toCsvFile` {#safeds.data.tabular.containers.Table.toCsvFile data-toc-label='[function] toCsvFile'}
 
 Write the table to a CSV file.
 
@@ -2027,7 +2027,7 @@ pipeline example {
     )
     ```
 
-## `#!sds fun` `toJsonFile` {#safeds.data.tabular.containers.Table.toJsonFile data-toc-label='[fun] toJsonFile'}
+## <code class="doc-symbol doc-symbol-function"></code> `toJsonFile` {#safeds.data.tabular.containers.Table.toJsonFile data-toc-label='[function] toJsonFile'}
 
 Write the table to a JSON file.
 
@@ -2063,7 +2063,7 @@ pipeline example {
     )
     ```
 
-## `#!sds fun` `toMap` {#safeds.data.tabular.containers.Table.toMap data-toc-label='[fun] toMap'}
+## <code class="doc-symbol doc-symbol-function"></code> `toMap` {#safeds.data.tabular.containers.Table.toMap data-toc-label='[function] toMap'}
 
 Return a map that maps column names to column values.
 
@@ -2091,7 +2091,7 @@ pipeline example {
     fun toMap() -> map: Map<String, List<Any>>
     ```
 
-## `#!sds fun` `toParquetFile` {#safeds.data.tabular.containers.Table.toParquetFile data-toc-label='[fun] toParquetFile'}
+## <code class="doc-symbol doc-symbol-function"></code> `toParquetFile` {#safeds.data.tabular.containers.Table.toParquetFile data-toc-label='[function] toParquetFile'}
 
 Write the table to a Parquet file.
 
@@ -2123,7 +2123,7 @@ pipeline example {
     )
     ```
 
-## `#!sds fun` `toTabularDataset` {#safeds.data.tabular.containers.Table.toTabularDataset data-toc-label='[fun] toTabularDataset'}
+## <code class="doc-symbol doc-symbol-function"></code> `toTabularDataset` {#safeds.data.tabular.containers.Table.toTabularDataset data-toc-label='[function] toTabularDataset'}
 
 Return a new `TabularDataset` with columns marked as a target, feature, or extra.
 
@@ -2174,7 +2174,7 @@ pipeline example {
     ) -> dataset: TabularDataset
     ```
 
-## `#!sds fun` `toTimeSeriesDataset` {#safeds.data.tabular.containers.Table.toTimeSeriesDataset data-toc-label='[fun] toTimeSeriesDataset'}
+## <code class="doc-symbol doc-symbol-function"></code> `toTimeSeriesDataset` {#safeds.data.tabular.containers.Table.toTimeSeriesDataset data-toc-label='[function] toTimeSeriesDataset'}
 
 Return a new `TimeSeriesDataset` with columns marked as a target column, time or feature columns.
 
@@ -2221,7 +2221,7 @@ pipeline example {
     ) -> dataset: TimeSeriesDataset
     ```
 
-## `#!sds fun` `transformColumn` {#safeds.data.tabular.containers.Table.transformColumn data-toc-label='[fun] transformColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `transformColumn` {#safeds.data.tabular.containers.Table.transformColumn data-toc-label='[function] transformColumn'}
 
 Return a new table with a column transformed.
 
@@ -2261,7 +2261,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds fun` `transformTable` {#safeds.data.tabular.containers.Table.transformTable data-toc-label='[fun] transformTable'}
+## <code class="doc-symbol doc-symbol-function"></code> `transformTable` {#safeds.data.tabular.containers.Table.transformTable data-toc-label='[function] transformTable'}
 
 Return a new table transformed by a **fitted** transformer.
 
@@ -2303,7 +2303,7 @@ pipeline example {
     ) -> newTable: Table
     ```
 
-## `#!sds static fun` `fromColumns` {#safeds.data.tabular.containers.Table.fromColumns data-toc-label='[static fun] fromColumns'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromColumns` {#safeds.data.tabular.containers.Table.fromColumns data-toc-label='[static-function] fromColumns'}
 
 Create a table from a list of columns.
 
@@ -2339,7 +2339,7 @@ pipeline example {
     ) -> table: Table
     ```
 
-## `#!sds static fun` `fromCsvFile` {#safeds.data.tabular.containers.Table.fromCsvFile data-toc-label='[static fun] fromCsvFile'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromCsvFile` {#safeds.data.tabular.containers.Table.fromCsvFile data-toc-label='[static-function] fromCsvFile'}
 
 Create a table from a CSV file.
 
@@ -2375,7 +2375,7 @@ pipeline example {
     ) -> table: Table
     ```
 
-## `#!sds static fun` `fromJsonFile` {#safeds.data.tabular.containers.Table.fromJsonFile data-toc-label='[static fun] fromJsonFile'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromJsonFile` {#safeds.data.tabular.containers.Table.fromJsonFile data-toc-label='[static-function] fromJsonFile'}
 
 Create a table from a JSON file.
 
@@ -2409,7 +2409,7 @@ pipeline example {
     ) -> table: Table
     ```
 
-## `#!sds static fun` `fromMap` {#safeds.data.tabular.containers.Table.fromMap data-toc-label='[static fun] fromMap'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromMap` {#safeds.data.tabular.containers.Table.fromMap data-toc-label='[static-function] fromMap'}
 
 Create a table from a map that maps column names to column values.
 
@@ -2444,7 +2444,7 @@ pipeline example {
     ) -> table: Table
     ```
 
-## `#!sds static fun` `fromParquetFile` {#safeds.data.tabular.containers.Table.fromParquetFile data-toc-label='[static fun] fromParquetFile'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `fromParquetFile` {#safeds.data.tabular.containers.Table.fromParquetFile data-toc-label='[static-function] fromParquetFile'}
 
 Create a table from a Parquet file.
 
diff --git a/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md b/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
index ab292e7d3..3b8d6a9b0 100644
--- a/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
+++ b/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
@@ -1,4 +1,4 @@
-# `#!sds class` `ColumnPlotter` {#safeds.data.tabular.plotting.ColumnPlotter data-toc-label='[class] ColumnPlotter'}
+# <code class="doc-symbol doc-symbol-class"></code> `ColumnPlotter` {#safeds.data.tabular.plotting.ColumnPlotter data-toc-label='[class] ColumnPlotter'}
 
 A class that contains plotting methods for a column.
 
@@ -79,7 +79,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `boxPlot` {#safeds.data.tabular.plotting.ColumnPlotter.boxPlot data-toc-label='[fun] boxPlot'}
+## <code class="doc-symbol doc-symbol-function"></code> `boxPlot` {#safeds.data.tabular.plotting.ColumnPlotter.boxPlot data-toc-label='[function] boxPlot'}
 
 Create a box plot for the values in the column. This is only possible for numeric columns.
 
@@ -106,7 +106,7 @@ pipeline example {
     fun boxPlot() -> plot: Image
     ```
 
-## `#!sds fun` `histogram` {#safeds.data.tabular.plotting.ColumnPlotter.histogram data-toc-label='[fun] histogram'}
+## <code class="doc-symbol doc-symbol-function"></code> `histogram` {#safeds.data.tabular.plotting.ColumnPlotter.histogram data-toc-label='[function] histogram'}
 
 Create a histogram for the values in the column.
 
@@ -142,7 +142,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `lagPlot` {#safeds.data.tabular.plotting.ColumnPlotter.lagPlot data-toc-label='[fun] lagPlot'}
+## <code class="doc-symbol doc-symbol-function"></code> `lagPlot` {#safeds.data.tabular.plotting.ColumnPlotter.lagPlot data-toc-label='[function] lagPlot'}
 
 Create a lag plot for the values in the column.
 
diff --git a/docs/api/safeds/data/tabular/plotting/TablePlotter.md b/docs/api/safeds/data/tabular/plotting/TablePlotter.md
index 32a975065..b72662e99 100644
--- a/docs/api/safeds/data/tabular/plotting/TablePlotter.md
+++ b/docs/api/safeds/data/tabular/plotting/TablePlotter.md
@@ -1,4 +1,4 @@
-# `#!sds class` `TablePlotter` {#safeds.data.tabular.plotting.TablePlotter data-toc-label='[class] TablePlotter'}
+# <code class="doc-symbol doc-symbol-class"></code> `TablePlotter` {#safeds.data.tabular.plotting.TablePlotter data-toc-label='[class] TablePlotter'}
 
 A class that contains plotting methods for a table.
 
@@ -127,7 +127,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `boxPlots` {#safeds.data.tabular.plotting.TablePlotter.boxPlots data-toc-label='[fun] boxPlots'}
+## <code class="doc-symbol doc-symbol-function"></code> `boxPlots` {#safeds.data.tabular.plotting.TablePlotter.boxPlots data-toc-label='[function] boxPlots'}
 
 Plot a boxplot for every numerical column.
 
@@ -154,7 +154,7 @@ pipeline example {
     fun boxPlots() -> plot: Image
     ```
 
-## `#!sds fun` `correlationHeatmap` {#safeds.data.tabular.plotting.TablePlotter.correlationHeatmap data-toc-label='[fun] correlationHeatmap'}
+## <code class="doc-symbol doc-symbol-function"></code> `correlationHeatmap` {#safeds.data.tabular.plotting.TablePlotter.correlationHeatmap data-toc-label='[function] correlationHeatmap'}
 
 Plot a correlation heatmap for all numerical columns of this `Table`.
 
@@ -181,7 +181,7 @@ pipeline example {
     fun correlationHeatmap() -> plot: Image
     ```
 
-## `#!sds fun` `histograms` {#safeds.data.tabular.plotting.TablePlotter.histograms data-toc-label='[fun] histograms'}
+## <code class="doc-symbol doc-symbol-function"></code> `histograms` {#safeds.data.tabular.plotting.TablePlotter.histograms data-toc-label='[function] histograms'}
 
 Plot a histogram for every column.
 
@@ -217,7 +217,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `linePlot` {#safeds.data.tabular.plotting.TablePlotter.linePlot data-toc-label='[fun] linePlot'}
+## <code class="doc-symbol doc-symbol-function"></code> `linePlot` {#safeds.data.tabular.plotting.TablePlotter.linePlot data-toc-label='[function] linePlot'}
 
 Create a line plot for two columns in the table.
 
@@ -259,7 +259,7 @@ pipeline example {
     ) -> plot: Image
     ```
 
-## `#!sds fun` `scatterPlot` {#safeds.data.tabular.plotting.TablePlotter.scatterPlot data-toc-label='[fun] scatterPlot'}
+## <code class="doc-symbol doc-symbol-function"></code> `scatterPlot` {#safeds.data.tabular.plotting.TablePlotter.scatterPlot data-toc-label='[function] scatterPlot'}
 
 Create a scatter plot for two columns in the table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/Discretizer.md b/docs/api/safeds/data/tabular/transformation/Discretizer.md
index 38024a905..f1cd9005c 100644
--- a/docs/api/safeds/data/tabular/transformation/Discretizer.md
+++ b/docs/api/safeds/data/tabular/transformation/Discretizer.md
@@ -1,4 +1,4 @@
-# `#!sds class` `Discretizer` {#safeds.data.tabular.transformation.Discretizer data-toc-label='[class] Discretizer'}
+# <code class="doc-symbol doc-symbol-class"></code> `Discretizer` {#safeds.data.tabular.transformation.Discretizer data-toc-label='[class] Discretizer'}
 
 The Discretizer bins continuous data into intervals.
 
@@ -70,19 +70,19 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `binCount` {#safeds.data.tabular.transformation.Discretizer.binCount data-toc-label='[attr] binCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `binCount` {#safeds.data.tabular.transformation.Discretizer.binCount data-toc-label='[attribute] binCount'}
 
 The number of bins to be created.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.Discretizer.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.Discretizer.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.Discretizer.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.Discretizer.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -111,7 +111,7 @@ This transformer is not modified.
     ) -> fittedTransformer: Discretizer
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.Discretizer.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.Discretizer.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -142,7 +142,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: Discretizer, transformedTable: Table)
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.Discretizer.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.Discretizer.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md b/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
index 1a27c53a1..1c0c8420c 100644
--- a/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
+++ b/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
@@ -1,4 +1,4 @@
-# `#!sds class` `InvertibleTableTransformer` {#safeds.data.tabular.transformation.InvertibleTableTransformer data-toc-label='[class] InvertibleTableTransformer'}
+# <code class="doc-symbol doc-symbol-class"></code> `InvertibleTableTransformer` {#safeds.data.tabular.transformation.InvertibleTableTransformer data-toc-label='[class] InvertibleTableTransformer'}
 
 A `TableTransformer` that can also undo the learned transformation after it has been applied.
 
@@ -68,13 +68,13 @@ A `TableTransformer` that can also undo the learned transformation after it has
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.InvertibleTableTransformer.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.InvertibleTableTransformer.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -103,7 +103,7 @@ Learn a transformation for a set of columns in a table.
     ) -> fittedTransformer: InvertibleTableTransformer
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -134,7 +134,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: InvertibleTableTransformer, transformedTable: Table)
     ```
 
-## `#!sds fun` `inverseTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.inverseTransform data-toc-label='[fun] inverseTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.inverseTransform data-toc-label='[function] inverseTransform'}
 
 Undo the learned transformation as well as possible.
 
@@ -164,7 +164,7 @@ Column order and types may differ from the original table. Likewise, some values
     ) -> originalTable: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/LabelEncoder.md b/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
index 314879bdd..ac75b8f18 100644
--- a/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
+++ b/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
@@ -1,4 +1,4 @@
-# `#!sds class` `LabelEncoder` {#safeds.data.tabular.transformation.LabelEncoder data-toc-label='[class] LabelEncoder'}
+# <code class="doc-symbol doc-symbol-class"></code> `LabelEncoder` {#safeds.data.tabular.transformation.LabelEncoder data-toc-label='[class] LabelEncoder'}
 
 The LabelEncoder encodes one or more given columns into labels.
 
@@ -65,13 +65,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.LabelEncoder.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.LabelEncoder.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.LabelEncoder.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.LabelEncoder.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -100,7 +100,7 @@ This transformer is not modified.
     ) -> fittedTransformer: LabelEncoder
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.LabelEncoder.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.LabelEncoder.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -131,7 +131,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: LabelEncoder, transformedTable: Table)
     ```
 
-## `#!sds fun` `inverseTransform` {#safeds.data.tabular.transformation.LabelEncoder.inverseTransform data-toc-label='[fun] inverseTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransform` {#safeds.data.tabular.transformation.LabelEncoder.inverseTransform data-toc-label='[function] inverseTransform'}
 
 Undo the learned transformation as well as possible.
 
@@ -161,7 +161,7 @@ Column order and types may differ from the original table. Likewise, some values
     ) -> originalTable: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.LabelEncoder.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.LabelEncoder.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md b/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
index 588ed69bb..00024908d 100644
--- a/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
+++ b/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
@@ -1,4 +1,4 @@
-# `#!sds class` `OneHotEncoder` {#safeds.data.tabular.transformation.OneHotEncoder data-toc-label='[class] OneHotEncoder'}
+# <code class="doc-symbol doc-symbol-class"></code> `OneHotEncoder` {#safeds.data.tabular.transformation.OneHotEncoder data-toc-label='[class] OneHotEncoder'}
 
 A way to deal with categorical features that is particularly useful for unordered (i.e. nominal) data.
 
@@ -88,13 +88,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.OneHotEncoder.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.OneHotEncoder.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.OneHotEncoder.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.OneHotEncoder.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -123,7 +123,7 @@ This transformer is not modified.
     ) -> fittedTransformer: OneHotEncoder
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.OneHotEncoder.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.OneHotEncoder.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -154,7 +154,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: OneHotEncoder, transformedTable: Table)
     ```
 
-## `#!sds fun` `inverseTransform` {#safeds.data.tabular.transformation.OneHotEncoder.inverseTransform data-toc-label='[fun] inverseTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransform` {#safeds.data.tabular.transformation.OneHotEncoder.inverseTransform data-toc-label='[function] inverseTransform'}
 
 Undo the learned transformation as well as possible.
 
@@ -184,7 +184,7 @@ Column order and types may differ from the original table. Likewise, some values
     ) -> originalTable: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.OneHotEncoder.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.OneHotEncoder.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/RangeScaler.md b/docs/api/safeds/data/tabular/transformation/RangeScaler.md
index e2e871017..165ac67ea 100644
--- a/docs/api/safeds/data/tabular/transformation/RangeScaler.md
+++ b/docs/api/safeds/data/tabular/transformation/RangeScaler.md
@@ -1,4 +1,4 @@
-# `#!sds class` `RangeScaler` {#safeds.data.tabular.transformation.RangeScaler data-toc-label='[class] RangeScaler'}
+# <code class="doc-symbol doc-symbol-class"></code> `RangeScaler` {#safeds.data.tabular.transformation.RangeScaler data-toc-label='[class] RangeScaler'}
 
 The RangeScaler transforms column values by scaling each value to a given range.
 
@@ -76,25 +76,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.RangeScaler.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.RangeScaler.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `max` {#safeds.data.tabular.transformation.RangeScaler.max data-toc-label='[attr] max'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `max` {#safeds.data.tabular.transformation.RangeScaler.max data-toc-label='[attribute] max'}
 
 The maximum of the new range after the transformation.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `min` {#safeds.data.tabular.transformation.RangeScaler.min data-toc-label='[attr] min'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `min` {#safeds.data.tabular.transformation.RangeScaler.min data-toc-label='[attribute] min'}
 
 The minimum of the new range after the transformation.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.RangeScaler.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.RangeScaler.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -123,7 +123,7 @@ This transformer is not modified.
     ) -> fittedTransformer: RangeScaler
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.RangeScaler.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.RangeScaler.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -154,7 +154,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: RangeScaler, transformedTable: Table)
     ```
 
-## `#!sds fun` `inverseTransform` {#safeds.data.tabular.transformation.RangeScaler.inverseTransform data-toc-label='[fun] inverseTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransform` {#safeds.data.tabular.transformation.RangeScaler.inverseTransform data-toc-label='[function] inverseTransform'}
 
 Undo the learned transformation as well as possible.
 
@@ -184,7 +184,7 @@ Column order and types may differ from the original table. Likewise, some values
     ) -> originalTable: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.RangeScaler.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.RangeScaler.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/SimpleImputer.md b/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
index 95e6d5055..2037f8e33 100644
--- a/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
+++ b/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
@@ -1,4 +1,4 @@
-# `#!sds class` `SimpleImputer` {#safeds.data.tabular.transformation.SimpleImputer data-toc-label='[class] SimpleImputer'}
+# <code class="doc-symbol doc-symbol-class"></code> `SimpleImputer` {#safeds.data.tabular.transformation.SimpleImputer data-toc-label='[class] SimpleImputer'}
 
 Replace missing values with the given strategy.
 
@@ -113,25 +113,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.SimpleImputer.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.SimpleImputer.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `strategy` {#safeds.data.tabular.transformation.SimpleImputer.strategy data-toc-label='[attr] strategy'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `strategy` {#safeds.data.tabular.transformation.SimpleImputer.strategy data-toc-label='[attribute] strategy'}
 
 The strategy used to replace missing values.
 
 **Type:** [`Strategy`][safeds.data.tabular.transformation.SimpleImputer.Strategy]
 
-## `#!sds attr` `valueToReplace` {#safeds.data.tabular.transformation.SimpleImputer.valueToReplace data-toc-label='[attr] valueToReplace'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `valueToReplace` {#safeds.data.tabular.transformation.SimpleImputer.valueToReplace data-toc-label='[attribute] valueToReplace'}
 
 The value that should be replaced.
 
 **Type:** [`Any`][safeds.lang.Any]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.SimpleImputer.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.SimpleImputer.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -160,7 +160,7 @@ This transformer is not modified.
     ) -> fittedTransformer: SimpleImputer
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.SimpleImputer.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.SimpleImputer.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -191,7 +191,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: SimpleImputer, transformedTable: Table)
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.SimpleImputer.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.SimpleImputer.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
@@ -218,7 +218,7 @@ Apply the learned transformation to a table.
     ) -> transformedTable: Table
     ```
 
-## `#!sds enum` `Strategy` {#safeds.data.tabular.transformation.SimpleImputer.Strategy data-toc-label='[enum] Strategy'}
+## <code class="doc-symbol doc-symbol-enum"></code> `Strategy` {#safeds.data.tabular.transformation.SimpleImputer.Strategy data-toc-label='[enum] Strategy'}
 
 Various strategies to replace missing values.
 
@@ -254,7 +254,7 @@ Various strategies to replace missing values.
     }
     ```
 
-### `Constant` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Constant data-toc-label='Constant'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Constant` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Constant data-toc-label='[variant] Constant'}
 
 Replace missing values with the given constant value.
 
@@ -264,14 +264,14 @@ Replace missing values with the given constant value.
 |------|------|-------------|---------|
 | `value` | [`Any`][safeds.lang.Any] | The value to replace missing values. | - |
 
-### `Mean` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mean data-toc-label='Mean'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Mean` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mean data-toc-label='[variant] Mean'}
 
 Replace missing values with the mean of each column.
 
-### `Median` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Median data-toc-label='Median'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Median` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Median data-toc-label='[variant] Median'}
 
 Replace missing values with the median of each column.
 
-### `Mode` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mode data-toc-label='Mode'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Mode` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mode data-toc-label='[variant] Mode'}
 
 Replace missing values with the mode of each column.
diff --git a/docs/api/safeds/data/tabular/transformation/StandardScaler.md b/docs/api/safeds/data/tabular/transformation/StandardScaler.md
index acbf40578..4ecd2e82c 100644
--- a/docs/api/safeds/data/tabular/transformation/StandardScaler.md
+++ b/docs/api/safeds/data/tabular/transformation/StandardScaler.md
@@ -1,4 +1,4 @@
-# `#!sds class` `StandardScaler` {#safeds.data.tabular.transformation.StandardScaler data-toc-label='[class] StandardScaler'}
+# <code class="doc-symbol doc-symbol-class"></code> `StandardScaler` {#safeds.data.tabular.transformation.StandardScaler data-toc-label='[class] StandardScaler'}
 
 The StandardScaler transforms column values to a range by removing the mean and scaling to unit variance.
 
@@ -57,13 +57,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.StandardScaler.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.StandardScaler.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.StandardScaler.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.StandardScaler.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -92,7 +92,7 @@ This transformer is not modified.
     ) -> fittedTransformer: StandardScaler
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.StandardScaler.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.StandardScaler.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -123,7 +123,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: StandardScaler, transformedTable: Table)
     ```
 
-## `#!sds fun` `inverseTransform` {#safeds.data.tabular.transformation.StandardScaler.inverseTransform data-toc-label='[fun] inverseTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `inverseTransform` {#safeds.data.tabular.transformation.StandardScaler.inverseTransform data-toc-label='[function] inverseTransform'}
 
 Undo the learned transformation as well as possible.
 
@@ -153,7 +153,7 @@ Column order and types may differ from the original table. Likewise, some values
     ) -> originalTable: Table
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.StandardScaler.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.StandardScaler.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/transformation/TableTransformer.md b/docs/api/safeds/data/tabular/transformation/TableTransformer.md
index d37060028..2522e05ba 100644
--- a/docs/api/safeds/data/tabular/transformation/TableTransformer.md
+++ b/docs/api/safeds/data/tabular/transformation/TableTransformer.md
@@ -3,14 +3,13 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `TableTransformer` {#safeds.data.tabular.transformation.TableTransformer data-toc-label='[abstract class] TableTransformer'}
+# <code class="doc-symbol doc-symbol-class"></code> `TableTransformer` {#safeds.data.tabular.transformation.TableTransformer data-toc-label='[class] TableTransformer'}
 
 Learn a transformation for a set of columns in a `Table` and transform another `Table` with the same columns.
 
 **Inheritors:**
 
 - [`Discretizer`][safeds.data.tabular.transformation.Discretizer]
-- `#!sds Imputer`
 - [`InvertibleTableTransformer`][safeds.data.tabular.transformation.InvertibleTableTransformer]
 - [`SimpleImputer`][safeds.data.tabular.transformation.SimpleImputer]
 
@@ -73,13 +72,13 @@ Learn a transformation for a set of columns in a `Table` and transform another `
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.data.tabular.transformation.TableTransformer.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.data.tabular.transformation.TableTransformer.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the transformer is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.data.tabular.transformation.TableTransformer.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.data.tabular.transformation.TableTransformer.fit data-toc-label='[function] fit'}
 
 Learn a transformation for a set of columns in a table.
 
@@ -108,7 +107,7 @@ Learn a transformation for a set of columns in a table.
     ) -> fittedTransformer: TableTransformer
     ```
 
-## `#!sds fun` `fitAndTransform` {#safeds.data.tabular.transformation.TableTransformer.fitAndTransform data-toc-label='[fun] fitAndTransform'}
+## <code class="doc-symbol doc-symbol-function"></code> `fitAndTransform` {#safeds.data.tabular.transformation.TableTransformer.fitAndTransform data-toc-label='[function] fitAndTransform'}
 
 Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
 
@@ -139,7 +138,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
     ) -> (fittedTransformer: TableTransformer, transformedTable: Table)
     ```
 
-## `#!sds fun` `transform` {#safeds.data.tabular.transformation.TableTransformer.transform data-toc-label='[fun] transform'}
+## <code class="doc-symbol doc-symbol-function"></code> `transform` {#safeds.data.tabular.transformation.TableTransformer.transform data-toc-label='[function] transform'}
 
 Apply the learned transformation to a table.
 
diff --git a/docs/api/safeds/data/tabular/typing/DataType.md b/docs/api/safeds/data/tabular/typing/DataType.md
index 135e4dab5..3e4571d65 100644
--- a/docs/api/safeds/data/tabular/typing/DataType.md
+++ b/docs/api/safeds/data/tabular/typing/DataType.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `DataType` {#safeds.data.tabular.typing.DataType data-toc-label='[abstract class] DataType'}
+# <code class="doc-symbol doc-symbol-class"></code> `DataType` {#safeds.data.tabular.typing.DataType data-toc-label='[class] DataType'}
 
 The type of a column or cell in a table.
 
@@ -22,13 +22,13 @@ The type of a column or cell in a table.
     }
     ```
 
-## `#!sds attr` `isNumeric` {#safeds.data.tabular.typing.DataType.isNumeric data-toc-label='[attr] isNumeric'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isNumeric` {#safeds.data.tabular.typing.DataType.isNumeric data-toc-label='[attribute] isNumeric'}
 
 Whether the column type is numeric.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `isTemporal` {#safeds.data.tabular.typing.DataType.isTemporal data-toc-label='[attr] isTemporal'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isTemporal` {#safeds.data.tabular.typing.DataType.isTemporal data-toc-label='[attribute] isTemporal'}
 
 Whether the column type is temporal.
 
diff --git a/docs/api/safeds/data/tabular/typing/Schema.md b/docs/api/safeds/data/tabular/typing/Schema.md
index f14442909..c3c7edd2a 100644
--- a/docs/api/safeds/data/tabular/typing/Schema.md
+++ b/docs/api/safeds/data/tabular/typing/Schema.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Schema` {#safeds.data.tabular.typing.Schema data-toc-label='[abstract class] Schema'}
+# <code class="doc-symbol doc-symbol-class"></code> `Schema` {#safeds.data.tabular.typing.Schema data-toc-label='[class] Schema'}
 
 The schema of a row or table.
 
@@ -71,13 +71,13 @@ The schema of a row or table.
     }
     ```
 
-## `#!sds attr` `columnNames` {#safeds.data.tabular.typing.Schema.columnNames data-toc-label='[attr] columnNames'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `columnNames` {#safeds.data.tabular.typing.Schema.columnNames data-toc-label='[attribute] columnNames'}
 
 Return a list of all column names contained in this schema.
 
 **Type:** [`List<String>`][safeds.lang.List]
 
-## `#!sds fun` `getColumnType` {#safeds.data.tabular.typing.Schema.getColumnType data-toc-label='[fun] getColumnType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getColumnType` {#safeds.data.tabular.typing.Schema.getColumnType data-toc-label='[function] getColumnType'}
 
 Return the type of the given column.
 
@@ -112,7 +112,7 @@ pipeline example {
     ) -> type: DataType
     ```
 
-## `#!sds fun` `hasColumn` {#safeds.data.tabular.typing.Schema.hasColumn data-toc-label='[fun] hasColumn'}
+## <code class="doc-symbol doc-symbol-function"></code> `hasColumn` {#safeds.data.tabular.typing.Schema.hasColumn data-toc-label='[function] hasColumn'}
 
 Return whether the schema contains a given column.
 
@@ -147,7 +147,7 @@ pipeline example {
     ) -> contains: Boolean
     ```
 
-## `#!sds fun` `toMap` {#safeds.data.tabular.typing.Schema.toMap data-toc-label='[fun] toMap'}
+## <code class="doc-symbol doc-symbol-function"></code> `toMap` {#safeds.data.tabular.typing.Schema.toMap data-toc-label='[function] toMap'}
 
 Return a dictionary that maps column names to column types.
 
diff --git a/docs/api/safeds/lang/AnnotationTarget.md b/docs/api/safeds/lang/AnnotationTarget.md
index 69697996d..804f1fbdd 100644
--- a/docs/api/safeds/lang/AnnotationTarget.md
+++ b/docs/api/safeds/lang/AnnotationTarget.md
@@ -1,4 +1,4 @@
-# `#!sds enum` `AnnotationTarget` {#safeds.lang.AnnotationTarget data-toc-label='[enum] AnnotationTarget'}
+# <code class="doc-symbol doc-symbol-enum"></code> `AnnotationTarget` {#safeds.lang.AnnotationTarget data-toc-label='[enum] AnnotationTarget'}
 
 The declaration types that can be targeted by annotations.
 
@@ -74,54 +74,54 @@ The declaration types that can be targeted by annotations.
     }
     ```
 
-## `Annotation` {#safeds.lang.AnnotationTarget.Annotation data-toc-label='Annotation'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Annotation` {#safeds.lang.AnnotationTarget.Annotation data-toc-label='[variant] Annotation'}
 
 The annotation can be called on annotations.
 
-## `Attribute` {#safeds.lang.AnnotationTarget.Attribute data-toc-label='Attribute'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Attribute` {#safeds.lang.AnnotationTarget.Attribute data-toc-label='[variant] Attribute'}
 
 The annotation can be called on attributes.
 
-## `Class` {#safeds.lang.AnnotationTarget.Class data-toc-label='Class'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Class` {#safeds.lang.AnnotationTarget.Class data-toc-label='[variant] Class'}
 
 The annotation can be called on classes.
 
-## `Enum` {#safeds.lang.AnnotationTarget.Enum data-toc-label='Enum'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Enum` {#safeds.lang.AnnotationTarget.Enum data-toc-label='[variant] Enum'}
 
 The annotation can be called on enums.
 
-## `EnumVariant` {#safeds.lang.AnnotationTarget.EnumVariant data-toc-label='EnumVariant'}
+## <code class="doc-symbol doc-symbol-variant"></code> `EnumVariant` {#safeds.lang.AnnotationTarget.EnumVariant data-toc-label='[variant] EnumVariant'}
 
 The annotation can be called on enum variants.
 
-## `Function` {#safeds.lang.AnnotationTarget.Function data-toc-label='Function'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Function` {#safeds.lang.AnnotationTarget.Function data-toc-label='[variant] Function'}
 
 The annotation can be called on functions.
 
-## `Module` {#safeds.lang.AnnotationTarget.Module data-toc-label='Module'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Module` {#safeds.lang.AnnotationTarget.Module data-toc-label='[variant] Module'}
 
 The annotation can be called on modules (i.e. files).
 
-## `Parameter` {#safeds.lang.AnnotationTarget.Parameter data-toc-label='Parameter'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Parameter` {#safeds.lang.AnnotationTarget.Parameter data-toc-label='[variant] Parameter'}
 
 The annotation can be called on parameters.
 
-## `Pipeline` {#safeds.lang.AnnotationTarget.Pipeline data-toc-label='Pipeline'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Pipeline` {#safeds.lang.AnnotationTarget.Pipeline data-toc-label='[variant] Pipeline'}
 
 The annotation can be called on pipelines.
 
-## `Result` {#safeds.lang.AnnotationTarget.Result data-toc-label='Result'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Result` {#safeds.lang.AnnotationTarget.Result data-toc-label='[variant] Result'}
 
 The annotation can be called on results.
 
-## `Schema` {#safeds.lang.AnnotationTarget.Schema data-toc-label='Schema'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Schema` {#safeds.lang.AnnotationTarget.Schema data-toc-label='[variant] Schema'}
 
 The annotation can be called on schemas.
 
-## `Segment` {#safeds.lang.AnnotationTarget.Segment data-toc-label='Segment'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Segment` {#safeds.lang.AnnotationTarget.Segment data-toc-label='[variant] Segment'}
 
 The annotation can be called on segments.
 
-## `TypeParameter` {#safeds.lang.AnnotationTarget.TypeParameter data-toc-label='TypeParameter'}
+## <code class="doc-symbol doc-symbol-variant"></code> `TypeParameter` {#safeds.lang.AnnotationTarget.TypeParameter data-toc-label='[variant] TypeParameter'}
 
 The annotation can be called on type parameters.
diff --git a/docs/api/safeds/lang/Any.md b/docs/api/safeds/lang/Any.md
index 38a26f40e..e64857f32 100644
--- a/docs/api/safeds/lang/Any.md
+++ b/docs/api/safeds/lang/Any.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Any` {#safeds.lang.Any data-toc-label='[abstract class] Any'}
+# <code class="doc-symbol doc-symbol-class"></code> `Any` {#safeds.lang.Any data-toc-label='[class] Any'}
 
 The common superclass of all classes.
 
@@ -43,7 +43,7 @@ The common superclass of all classes.
     }
     ```
 
-## `#!sds fun` `toBoolean` {#safeds.lang.Any.toBoolean data-toc-label='[fun] toBoolean'}
+## <code class="doc-symbol doc-symbol-function"></code> `toBoolean` {#safeds.lang.Any.toBoolean data-toc-label='[function] toBoolean'}
 
 Return whether the object is truthy.
 
@@ -74,7 +74,7 @@ pipeline example {
     fun toBoolean() -> boolean: Boolean
     ```
 
-## `#!sds fun` `toString` {#safeds.lang.Any.toString data-toc-label='[fun] toString'}
+## <code class="doc-symbol doc-symbol-function"></code> `toString` {#safeds.lang.Any.toString data-toc-label='[function] toString'}
 
 Return a string representation of the object.
 
diff --git a/docs/api/safeds/lang/Boolean.md b/docs/api/safeds/lang/Boolean.md
index ac5d6d6f7..73a46aa81 100644
--- a/docs/api/safeds/lang/Boolean.md
+++ b/docs/api/safeds/lang/Boolean.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Boolean` {#safeds.lang.Boolean data-toc-label='[abstract class] Boolean'}
+# <code class="doc-symbol doc-symbol-class"></code> `Boolean` {#safeds.lang.Boolean data-toc-label='[class] Boolean'}
 
 A truth value.
 
diff --git a/docs/api/safeds/lang/Category.md b/docs/api/safeds/lang/Category.md
index 4d1036857..b6da53426 100644
--- a/docs/api/safeds/lang/Category.md
+++ b/docs/api/safeds/lang/Category.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `Category` {#safeds.lang.Category data-toc-label='[annotation] Category'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `Category` {#safeds.lang.Category data-toc-label='[annotation] Category'}
 
 The category of a declaration. It can be used for grouping.
 
diff --git a/docs/api/safeds/lang/DataScienceCategory.md b/docs/api/safeds/lang/DataScienceCategory.md
index 69c93e71d..c042d6e79 100644
--- a/docs/api/safeds/lang/DataScienceCategory.md
+++ b/docs/api/safeds/lang/DataScienceCategory.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds enum` `DataScienceCategory` {#safeds.lang.DataScienceCategory data-toc-label='[enum] DataScienceCategory'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-enum"></code> `DataScienceCategory` {#safeds.lang.DataScienceCategory data-toc-label='[enum] DataScienceCategory'}
 
 A step in the data science process.
 
@@ -38,26 +38,26 @@ A step in the data science process.
     }
     ```
 
-## `DataExploration` {#safeds.lang.DataScienceCategory.DataExploration data-toc-label='DataExploration'}
+## <code class="doc-symbol doc-symbol-variant"></code> `DataExploration` {#safeds.lang.DataScienceCategory.DataExploration data-toc-label='[variant] DataExploration'}
 
 Explore your data.
 
-## `DataExport` {#safeds.lang.DataScienceCategory.DataExport data-toc-label='DataExport'}
+## <code class="doc-symbol doc-symbol-variant"></code> `DataExport` {#safeds.lang.DataScienceCategory.DataExport data-toc-label='[variant] DataExport'}
 
 Save your data for later use.
 
-## `DataImport` {#safeds.lang.DataScienceCategory.DataImport data-toc-label='DataImport'}
+## <code class="doc-symbol doc-symbol-variant"></code> `DataImport` {#safeds.lang.DataScienceCategory.DataImport data-toc-label='[variant] DataImport'}
 
 Load your data into the program.
 
-## `DataPreparation` {#safeds.lang.DataScienceCategory.DataPreparation data-toc-label='DataPreparation'}
+## <code class="doc-symbol doc-symbol-variant"></code> `DataPreparation` {#safeds.lang.DataScienceCategory.DataPreparation data-toc-label='[variant] DataPreparation'}
 
 Prepare your data for analysis.
 
-## `ModelEvaluation` {#safeds.lang.DataScienceCategory.ModelEvaluation data-toc-label='ModelEvaluation'}
+## <code class="doc-symbol doc-symbol-variant"></code> `ModelEvaluation` {#safeds.lang.DataScienceCategory.ModelEvaluation data-toc-label='[variant] ModelEvaluation'}
 
 Evaluate the performance of your model.
 
-## `Modeling` {#safeds.lang.DataScienceCategory.Modeling data-toc-label='Modeling'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Modeling` {#safeds.lang.DataScienceCategory.Modeling data-toc-label='[variant] Modeling'}
 
 Configure a model and train it on your data.
diff --git a/docs/api/safeds/lang/Deprecated.md b/docs/api/safeds/lang/Deprecated.md
index cde0d1f79..4fcc4776b 100644
--- a/docs/api/safeds/lang/Deprecated.md
+++ b/docs/api/safeds/lang/Deprecated.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `Deprecated` {#safeds.lang.Deprecated data-toc-label='[annotation] Deprecated'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `Deprecated` {#safeds.lang.Deprecated data-toc-label='[annotation] Deprecated'}
 
 The declaration should no longer be used.
 
diff --git a/docs/api/safeds/lang/Experimental.md b/docs/api/safeds/lang/Experimental.md
index 76df3a3b4..1ae8b37cf 100644
--- a/docs/api/safeds/lang/Experimental.md
+++ b/docs/api/safeds/lang/Experimental.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `Experimental` {#safeds.lang.Experimental data-toc-label='[annotation] Experimental'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `Experimental` {#safeds.lang.Experimental data-toc-label='[annotation] Experimental'}
 
 The declaration might change without a major version bump.
 
diff --git a/docs/api/safeds/lang/Expert.md b/docs/api/safeds/lang/Expert.md
index 8b318697a..c8ab65535 100644
--- a/docs/api/safeds/lang/Expert.md
+++ b/docs/api/safeds/lang/Expert.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `Expert` {#safeds.lang.Expert data-toc-label='[annotation] Expert'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `Expert` {#safeds.lang.Expert data-toc-label='[annotation] Expert'}
 
 This parameter should only be used by expert users.
 
diff --git a/docs/api/safeds/lang/Float.md b/docs/api/safeds/lang/Float.md
index b9aa0c08e..d4ff79a52 100644
--- a/docs/api/safeds/lang/Float.md
+++ b/docs/api/safeds/lang/Float.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Float` {#safeds.lang.Float data-toc-label='[abstract class] Float'}
+# <code class="doc-symbol doc-symbol-class"></code> `Float` {#safeds.lang.Float data-toc-label='[class] Float'}
 
 A floating-point number.
 
@@ -36,7 +36,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `toInt` {#safeds.lang.Float.toInt data-toc-label='[fun] toInt'}
+## <code class="doc-symbol doc-symbol-function"></code> `toInt` {#safeds.lang.Float.toInt data-toc-label='[function] toInt'}
 
 Convert this floating-point number to an integer by truncating the fractional part.
 
diff --git a/docs/api/safeds/lang/Impure.md b/docs/api/safeds/lang/Impure.md
index d11f15e39..020897c44 100644
--- a/docs/api/safeds/lang/Impure.md
+++ b/docs/api/safeds/lang/Impure.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `Impure` {#safeds.lang.Impure data-toc-label='[annotation] Impure'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `Impure` {#safeds.lang.Impure data-toc-label='[annotation] Impure'}
 
 The function has side effects and/or does not always return the same results given the same arguments.
 
diff --git a/docs/api/safeds/lang/ImpurityReason.md b/docs/api/safeds/lang/ImpurityReason.md
index c70044ebb..0e4c57bda 100644
--- a/docs/api/safeds/lang/ImpurityReason.md
+++ b/docs/api/safeds/lang/ImpurityReason.md
@@ -1,4 +1,4 @@
-# `#!sds enum` `ImpurityReason` {#safeds.lang.ImpurityReason data-toc-label='[enum] ImpurityReason'}
+# <code class="doc-symbol doc-symbol-enum"></code> `ImpurityReason` {#safeds.lang.ImpurityReason data-toc-label='[enum] ImpurityReason'}
 
 A reason why a function is impure.
 
@@ -49,7 +49,7 @@ A reason why a function is impure.
     }
     ```
 
-## `FileReadFromConstantPath` {#safeds.lang.ImpurityReason.FileReadFromConstantPath data-toc-label='FileReadFromConstantPath'}
+## <code class="doc-symbol doc-symbol-variant"></code> `FileReadFromConstantPath` {#safeds.lang.ImpurityReason.FileReadFromConstantPath data-toc-label='[variant] FileReadFromConstantPath'}
 
 The function reads from a file and the file path is a constant.
 
@@ -59,7 +59,7 @@ The function reads from a file and the file path is a constant.
 |------|------|-------------|---------|
 | `path` | [`String`][safeds.lang.String] | The path of the file. | - |
 
-## `FileReadFromParameterizedPath` {#safeds.lang.ImpurityReason.FileReadFromParameterizedPath data-toc-label='FileReadFromParameterizedPath'}
+## <code class="doc-symbol doc-symbol-variant"></code> `FileReadFromParameterizedPath` {#safeds.lang.ImpurityReason.FileReadFromParameterizedPath data-toc-label='[variant] FileReadFromParameterizedPath'}
 
 The function reads from a file and the file path is given by a parameter.
 
@@ -69,7 +69,7 @@ The function reads from a file and the file path is given by a parameter.
 |------|------|-------------|---------|
 | `parameterName` | [`String`][safeds.lang.String] | The name of the parameter that specifies the file path. | - |
 
-## `FileWriteToConstantPath` {#safeds.lang.ImpurityReason.FileWriteToConstantPath data-toc-label='FileWriteToConstantPath'}
+## <code class="doc-symbol doc-symbol-variant"></code> `FileWriteToConstantPath` {#safeds.lang.ImpurityReason.FileWriteToConstantPath data-toc-label='[variant] FileWriteToConstantPath'}
 
 The function writes to a file and the file path is a constant.
 
@@ -79,7 +79,7 @@ The function writes to a file and the file path is a constant.
 |------|------|-------------|---------|
 | `path` | [`String`][safeds.lang.String] | The path of the file. | - |
 
-## `FileWriteToParameterizedPath` {#safeds.lang.ImpurityReason.FileWriteToParameterizedPath data-toc-label='FileWriteToParameterizedPath'}
+## <code class="doc-symbol doc-symbol-variant"></code> `FileWriteToParameterizedPath` {#safeds.lang.ImpurityReason.FileWriteToParameterizedPath data-toc-label='[variant] FileWriteToParameterizedPath'}
 
 The function writes to a file and the file path is given by a parameter.
 
@@ -89,11 +89,11 @@ The function writes to a file and the file path is given by a parameter.
 |------|------|-------------|---------|
 | `parameterName` | [`String`][safeds.lang.String] | The name of the parameter that specifies the file path. | - |
 
-## `Other` {#safeds.lang.ImpurityReason.Other data-toc-label='Other'}
+## <code class="doc-symbol doc-symbol-variant"></code> `Other` {#safeds.lang.ImpurityReason.Other data-toc-label='[variant] Other'}
 
 The function is impure for some other reason. If possible, use a more specific reason.
 
-## `PotentiallyImpureParameterCall` {#safeds.lang.ImpurityReason.PotentiallyImpureParameterCall data-toc-label='PotentiallyImpureParameterCall'}
+## <code class="doc-symbol doc-symbol-variant"></code> `PotentiallyImpureParameterCall` {#safeds.lang.ImpurityReason.PotentiallyImpureParameterCall data-toc-label='[variant] PotentiallyImpureParameterCall'}
 
 The function calls another, potentially impure function that gets passed as a parameter.
 
diff --git a/docs/api/safeds/lang/Int.md b/docs/api/safeds/lang/Int.md
index 7f4d3b336..fbd8cffc3 100644
--- a/docs/api/safeds/lang/Int.md
+++ b/docs/api/safeds/lang/Int.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Int` {#safeds.lang.Int data-toc-label='[abstract class] Int'}
+# <code class="doc-symbol doc-symbol-class"></code> `Int` {#safeds.lang.Int data-toc-label='[class] Int'}
 
 An integer.
 
@@ -36,7 +36,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `toFloat` {#safeds.lang.Int.toFloat data-toc-label='[fun] toFloat'}
+## <code class="doc-symbol doc-symbol-function"></code> `toFloat` {#safeds.lang.Int.toFloat data-toc-label='[function] toFloat'}
 
 Convert this integer to a floating-point number.
 
diff --git a/docs/api/safeds/lang/List.md b/docs/api/safeds/lang/List.md
index f864262e8..691fef771 100644
--- a/docs/api/safeds/lang/List.md
+++ b/docs/api/safeds/lang/List.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `List` {#safeds.lang.List data-toc-label='[abstract class] List'}
+# <code class="doc-symbol doc-symbol-class"></code> `List` {#safeds.lang.List data-toc-label='[class] List'}
 
 A list of elements.
 
@@ -72,7 +72,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `join` {#safeds.lang.List.join data-toc-label='[fun] join'}
+## <code class="doc-symbol doc-symbol-function"></code> `join` {#safeds.lang.List.join data-toc-label='[function] join'}
 
 Join the elements of the list into a string using the separator.
 
@@ -109,7 +109,7 @@ pipeline example {
     fun join(separator: String = ", ") -> string: String
     ```
 
-## `#!sds fun` `size` {#safeds.lang.List.size data-toc-label='[fun] size'}
+## <code class="doc-symbol doc-symbol-function"></code> `size` {#safeds.lang.List.size data-toc-label='[function] size'}
 
 Return the number of elements in the list.
 
@@ -135,7 +135,7 @@ pipeline example {
     fun size() -> size: Int
     ```
 
-## `#!sds fun` `slice` {#safeds.lang.List.slice data-toc-label='[fun] slice'}
+## <code class="doc-symbol doc-symbol-function"></code> `slice` {#safeds.lang.List.slice data-toc-label='[function] slice'}
 
 Return the slice of the list starting at the start index up to but excluding the end index.
 
diff --git a/docs/api/safeds/lang/Map.md b/docs/api/safeds/lang/Map.md
index a94669bbf..2a57aa09c 100644
--- a/docs/api/safeds/lang/Map.md
+++ b/docs/api/safeds/lang/Map.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Map` {#safeds.lang.Map data-toc-label='[abstract class] Map'}
+# <code class="doc-symbol doc-symbol-class"></code> `Map` {#safeds.lang.Map data-toc-label='[class] Map'}
 
 A map of keys to values.
 
@@ -84,7 +84,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `keys` {#safeds.lang.Map.keys data-toc-label='[fun] keys'}
+## <code class="doc-symbol doc-symbol-function"></code> `keys` {#safeds.lang.Map.keys data-toc-label='[function] keys'}
 
 Return the keys of the map.
 
@@ -115,7 +115,7 @@ pipeline example {
     fun keys() -> keys: List<K>
     ```
 
-## `#!sds fun` `size` {#safeds.lang.Map.size data-toc-label='[fun] size'}
+## <code class="doc-symbol doc-symbol-function"></code> `size` {#safeds.lang.Map.size data-toc-label='[function] size'}
 
 Return the number of entries in the map.
 
@@ -146,7 +146,7 @@ pipeline example {
     fun size() -> size: Int
     ```
 
-## `#!sds fun` `values` {#safeds.lang.Map.values data-toc-label='[fun] values'}
+## <code class="doc-symbol doc-symbol-function"></code> `values` {#safeds.lang.Map.values data-toc-label='[function] values'}
 
 Return the values of the map.
 
diff --git a/docs/api/safeds/lang/Nothing.md b/docs/api/safeds/lang/Nothing.md
index eed3d5c96..7b492ec45 100644
--- a/docs/api/safeds/lang/Nothing.md
+++ b/docs/api/safeds/lang/Nothing.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Nothing` {#safeds.lang.Nothing data-toc-label='[abstract class] Nothing'}
+# <code class="doc-symbol doc-symbol-class"></code> `Nothing` {#safeds.lang.Nothing data-toc-label='[class] Nothing'}
 
 The common subclass of all classes.
 
diff --git a/docs/api/safeds/lang/Number.md b/docs/api/safeds/lang/Number.md
index 490691dc1..5703ced3b 100644
--- a/docs/api/safeds/lang/Number.md
+++ b/docs/api/safeds/lang/Number.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Number` {#safeds.lang.Number data-toc-label='[abstract class] Number'}
+# <code class="doc-symbol doc-symbol-class"></code> `Number` {#safeds.lang.Number data-toc-label='[class] Number'}
 
 A number.
 
diff --git a/docs/api/safeds/lang/Pure.md b/docs/api/safeds/lang/Pure.md
index 90cc31877..a2a049fa5 100644
--- a/docs/api/safeds/lang/Pure.md
+++ b/docs/api/safeds/lang/Pure.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `Pure` {#safeds.lang.Pure data-toc-label='[annotation] Pure'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `Pure` {#safeds.lang.Pure data-toc-label='[annotation] Pure'}
 
 The function has no side effects and always returns the same results given the same arguments.
 
diff --git a/docs/api/safeds/lang/PythonMacro.md b/docs/api/safeds/lang/PythonMacro.md
index 20d0c2b82..836cd36ba 100644
--- a/docs/api/safeds/lang/PythonMacro.md
+++ b/docs/api/safeds/lang/PythonMacro.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `PythonMacro` {#safeds.lang.PythonMacro data-toc-label='[annotation] PythonMacro'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `PythonMacro` {#safeds.lang.PythonMacro data-toc-label='[annotation] PythonMacro'}
 
 The specification of the corresponding Python code. By default, the function is called as specified in the stubs.
 
diff --git a/docs/api/safeds/lang/PythonModule.md b/docs/api/safeds/lang/PythonModule.md
index 437f24563..0990eeecb 100644
--- a/docs/api/safeds/lang/PythonModule.md
+++ b/docs/api/safeds/lang/PythonModule.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `PythonModule` {#safeds.lang.PythonModule data-toc-label='[annotation] PythonModule'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `PythonModule` {#safeds.lang.PythonModule data-toc-label='[annotation] PythonModule'}
 
 The qualified name of the corresponding Python module. By default, this is the qualified name of the package in the
 stubs.
diff --git a/docs/api/safeds/lang/PythonName.md b/docs/api/safeds/lang/PythonName.md
index 73c30b899..2bb1b0f32 100644
--- a/docs/api/safeds/lang/PythonName.md
+++ b/docs/api/safeds/lang/PythonName.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `PythonName` {#safeds.lang.PythonName data-toc-label='[annotation] PythonName'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `PythonName` {#safeds.lang.PythonName data-toc-label='[annotation] PythonName'}
 
 The name of the corresponding API element in Python. By default, this is the name of the declaration in the stubs.
 
diff --git a/docs/api/safeds/lang/Repeatable.md b/docs/api/safeds/lang/Repeatable.md
index 57192ed96..a155e0161 100644
--- a/docs/api/safeds/lang/Repeatable.md
+++ b/docs/api/safeds/lang/Repeatable.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `Repeatable` {#safeds.lang.Repeatable data-toc-label='[annotation] Repeatable'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `Repeatable` {#safeds.lang.Repeatable data-toc-label='[annotation] Repeatable'}
 
 The annotation can be called multiple times for the same declaration.
 
diff --git a/docs/api/safeds/lang/String.md b/docs/api/safeds/lang/String.md
index 9a517f6b7..43145d12d 100644
--- a/docs/api/safeds/lang/String.md
+++ b/docs/api/safeds/lang/String.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `String` {#safeds.lang.String data-toc-label='[abstract class] String'}
+# <code class="doc-symbol doc-symbol-class"></code> `String` {#safeds.lang.String data-toc-label='[class] String'}
 
 Some text.
 
@@ -270,7 +270,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `contains` {#safeds.lang.String.contains data-toc-label='[fun] contains'}
+## <code class="doc-symbol doc-symbol-function"></code> `contains` {#safeds.lang.String.contains data-toc-label='[function] contains'}
 
 Check if the string contains the substring.
 
@@ -302,7 +302,7 @@ pipeline example {
     fun contains(substring: String) -> contains: Boolean
     ```
 
-## `#!sds fun` `endsWith` {#safeds.lang.String.endsWith data-toc-label='[fun] endsWith'}
+## <code class="doc-symbol doc-symbol-function"></code> `endsWith` {#safeds.lang.String.endsWith data-toc-label='[function] endsWith'}
 
 Check if the string ends with the suffix.
 
@@ -334,7 +334,7 @@ pipeline example {
     fun endsWith(suffix: String) -> endsWith: Boolean
     ```
 
-## `#!sds fun` `indexOf` {#safeds.lang.String.indexOf data-toc-label='[fun] indexOf'}
+## <code class="doc-symbol doc-symbol-function"></code> `indexOf` {#safeds.lang.String.indexOf data-toc-label='[function] indexOf'}
 
 Return the index of the first occurrence of the substring in the string or -1 if the substring is not found.
 
@@ -366,7 +366,7 @@ pipeline example {
     fun indexOf(substring: String) -> index: Int
     ```
 
-## `#!sds fun` `lastIndexOf` {#safeds.lang.String.lastIndexOf data-toc-label='[fun] lastIndexOf'}
+## <code class="doc-symbol doc-symbol-function"></code> `lastIndexOf` {#safeds.lang.String.lastIndexOf data-toc-label='[function] lastIndexOf'}
 
 Return the index of the last occurrence of the substring in the string or -1 if the substring is not found.
 
@@ -398,7 +398,7 @@ pipeline example {
     fun lastIndexOf(substring: String) -> index: Int
     ```
 
-## `#!sds fun` `length` {#safeds.lang.String.length data-toc-label='[fun] length'}
+## <code class="doc-symbol doc-symbol-function"></code> `length` {#safeds.lang.String.length data-toc-label='[function] length'}
 
 Return the number of characters in the string.
 
@@ -424,7 +424,7 @@ pipeline example {
     fun length() -> length: Int
     ```
 
-## `#!sds fun` `repeat` {#safeds.lang.String.repeat data-toc-label='[fun] repeat'}
+## <code class="doc-symbol doc-symbol-function"></code> `repeat` {#safeds.lang.String.repeat data-toc-label='[function] repeat'}
 
 Repeat the string n times.
 
@@ -456,7 +456,7 @@ pipeline example {
     fun repeat(n: Int) -> repeatedString: String
     ```
 
-## `#!sds fun` `replace` {#safeds.lang.String.replace data-toc-label='[fun] replace'}
+## <code class="doc-symbol doc-symbol-function"></code> `replace` {#safeds.lang.String.replace data-toc-label='[function] replace'}
 
 Replace all occurrences of the old substring with the new substring.
 
@@ -489,7 +489,7 @@ pipeline example {
     fun replace(old: String, new: String) -> replacedString: String
     ```
 
-## `#!sds fun` `split` {#safeds.lang.String.split data-toc-label='[fun] split'}
+## <code class="doc-symbol doc-symbol-function"></code> `split` {#safeds.lang.String.split data-toc-label='[function] split'}
 
 Split the string into parts using the separator.
 
@@ -521,7 +521,7 @@ pipeline example {
     fun split(separator: String) -> parts: List<String>
     ```
 
-## `#!sds fun` `startsWith` {#safeds.lang.String.startsWith data-toc-label='[fun] startsWith'}
+## <code class="doc-symbol doc-symbol-function"></code> `startsWith` {#safeds.lang.String.startsWith data-toc-label='[function] startsWith'}
 
 Check if the string starts with the prefix.
 
@@ -553,7 +553,7 @@ pipeline example {
     fun startsWith(prefix: String) -> startsWith: Boolean
     ```
 
-## `#!sds fun` `substring` {#safeds.lang.String.substring data-toc-label='[fun] substring'}
+## <code class="doc-symbol doc-symbol-function"></code> `substring` {#safeds.lang.String.substring data-toc-label='[function] substring'}
 
 Return the substring of the string starting at the start index up to but excluding the end index.
 
@@ -586,7 +586,7 @@ pipeline example {
     fun substring(start: Int = 0, end: Int = this.length()) -> substring: String
     ```
 
-## `#!sds fun` `toCasefolded` {#safeds.lang.String.toCasefolded data-toc-label='[fun] toCasefolded'}
+## <code class="doc-symbol doc-symbol-function"></code> `toCasefolded` {#safeds.lang.String.toCasefolded data-toc-label='[function] toCasefolded'}
 
 Normalize the casing of a string to make it suitable for case-insensitive matching. This is essentially a more
 aggressive form of lowercasing. For example, the German lowercase letter "ß" gets converted to "ss".
@@ -620,7 +620,7 @@ pipeline example {
     fun toCasefolded() -> casefolded: String
     ```
 
-## `#!sds fun` `toFloat` {#safeds.lang.String.toFloat data-toc-label='[fun] toFloat'}
+## <code class="doc-symbol doc-symbol-function"></code> `toFloat` {#safeds.lang.String.toFloat data-toc-label='[function] toFloat'}
 
 Parse the string to a floating-point number.
 
@@ -646,7 +646,7 @@ pipeline example {
     fun toFloat() -> float: Float
     ```
 
-## `#!sds fun` `toInt` {#safeds.lang.String.toInt data-toc-label='[fun] toInt'}
+## <code class="doc-symbol doc-symbol-function"></code> `toInt` {#safeds.lang.String.toInt data-toc-label='[function] toInt'}
 
 Parse the string to an integer.
 
@@ -683,7 +683,7 @@ pipeline example {
     fun toInt(base: Int = 10) -> int: Int
     ```
 
-## `#!sds fun` `toLowercase` {#safeds.lang.String.toLowercase data-toc-label='[fun] toLowercase'}
+## <code class="doc-symbol doc-symbol-function"></code> `toLowercase` {#safeds.lang.String.toLowercase data-toc-label='[function] toLowercase'}
 
 Convert the string to lowercase. Prefer [String.toCasefolded][safeds.lang.String.toCasefolded] for case-insensitive matching.
 
@@ -716,7 +716,7 @@ pipeline example {
     fun toLowercase() -> lowercase: String
     ```
 
-## `#!sds fun` `toUppercase` {#safeds.lang.String.toUppercase data-toc-label='[fun] toUppercase'}
+## <code class="doc-symbol doc-symbol-function"></code> `toUppercase` {#safeds.lang.String.toUppercase data-toc-label='[function] toUppercase'}
 
 Convert the string to uppercase. Prefer [String.toCasefolded][safeds.lang.String.toCasefolded] for case-insensitive matching.
 
@@ -749,7 +749,7 @@ pipeline example {
     fun toUppercase() -> uppercase: String
     ```
 
-## `#!sds fun` `trim` {#safeds.lang.String.trim data-toc-label='[fun] trim'}
+## <code class="doc-symbol doc-symbol-function"></code> `trim` {#safeds.lang.String.trim data-toc-label='[function] trim'}
 
 Trim leading and trailing whitespace from the string.
 
@@ -775,7 +775,7 @@ pipeline example {
     fun trim() -> trimmed: String
     ```
 
-## `#!sds fun` `trimEnd` {#safeds.lang.String.trimEnd data-toc-label='[fun] trimEnd'}
+## <code class="doc-symbol doc-symbol-function"></code> `trimEnd` {#safeds.lang.String.trimEnd data-toc-label='[function] trimEnd'}
 
 Trim trailing whitespace from the string.
 
@@ -801,7 +801,7 @@ pipeline example {
     fun trimEnd() -> trimmed: String
     ```
 
-## `#!sds fun` `trimStart` {#safeds.lang.String.trimStart data-toc-label='[fun] trimStart'}
+## <code class="doc-symbol doc-symbol-function"></code> `trimStart` {#safeds.lang.String.trimStart data-toc-label='[function] trimStart'}
 
 Trim leading whitespace from the string.
 
diff --git a/docs/api/safeds/lang/Tags.md b/docs/api/safeds/lang/Tags.md
index e45b8fe01..06d39664f 100644
--- a/docs/api/safeds/lang/Tags.md
+++ b/docs/api/safeds/lang/Tags.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` `Tags` {#safeds.lang.Tags data-toc-label='[annotation] Tags'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-annotation"></code> `Tags` {#safeds.lang.Tags data-toc-label='[annotation] Tags'}
 
 Tags to associate with a declaration. They can be used for filtering.
 
diff --git a/docs/api/safeds/lang/Targets.md b/docs/api/safeds/lang/Targets.md
index 99a4a82cd..b86c11812 100644
--- a/docs/api/safeds/lang/Targets.md
+++ b/docs/api/safeds/lang/Targets.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` `Targets` {#safeds.lang.Targets data-toc-label='[annotation] Targets'}
+# <code class="doc-symbol doc-symbol-annotation"></code> `Targets` {#safeds.lang.Targets data-toc-label='[annotation] Targets'}
 
 The annotation must target only the specified declaration types. By default, any declaration type can be targeted.
 
diff --git a/docs/api/safeds/ml/classical/SupervisedModel.md b/docs/api/safeds/ml/classical/SupervisedModel.md
index b5e6582d7..cfcd96567 100644
--- a/docs/api/safeds/ml/classical/SupervisedModel.md
+++ b/docs/api/safeds/ml/classical/SupervisedModel.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `SupervisedModel` {#safeds.ml.classical.SupervisedModel data-toc-label='[abstract class] SupervisedModel'}
+# <code class="doc-symbol doc-symbol-class"></code> `SupervisedModel` {#safeds.ml.classical.SupervisedModel data-toc-label='[class] SupervisedModel'}
 
 A model for supervised learning tasks.
 
@@ -95,13 +95,13 @@ A model for supervised learning tasks.
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.SupervisedModel.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.SupervisedModel.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.ml.classical.SupervisedModel.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.SupervisedModel.fit data-toc-label='[function] fit'}
 
 Create a copy of this model and fit it with the given training data.
 
@@ -128,7 +128,7 @@ Create a copy of this model and fit it with the given training data.
     ) -> fittedModel: SupervisedModel
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.SupervisedModel.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.SupervisedModel.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -148,7 +148,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.SupervisedModel.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.SupervisedModel.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -168,7 +168,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.SupervisedModel.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.SupervisedModel.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -188,7 +188,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.SupervisedModel.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.SupervisedModel.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -208,7 +208,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.SupervisedModel.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.SupervisedModel.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
diff --git a/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md b/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
index e643d2c11..41bc86210 100644
--- a/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `AdaBoostClassifier` {#safeds.ml.classical.classification.AdaBoostClassifier data-toc-label='[class] AdaBoostClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `AdaBoostClassifier` {#safeds.ml.classical.classification.AdaBoostClassifier data-toc-label='[class] AdaBoostClassifier'}
 
 Ada Boost classification.
 
@@ -63,31 +63,31 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.AdaBoostClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.AdaBoostClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `learner` {#safeds.ml.classical.classification.AdaBoostClassifier.learner data-toc-label='[attr] learner'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learner` {#safeds.ml.classical.classification.AdaBoostClassifier.learner data-toc-label='[attribute] learner'}
 
 Get the base learner used for training the ensemble.
 
 **Type:** [`Classifier`][safeds.ml.classical.classification.Classifier]
 
-## `#!sds attr` `learningRate` {#safeds.ml.classical.classification.AdaBoostClassifier.learningRate data-toc-label='[attr] learningRate'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learningRate` {#safeds.ml.classical.classification.AdaBoostClassifier.learningRate data-toc-label='[attribute] learningRate'}
 
 Get the learning rate.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `maxLearnerCount` {#safeds.ml.classical.classification.AdaBoostClassifier.maxLearnerCount data-toc-label='[attr] maxLearnerCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxLearnerCount` {#safeds.ml.classical.classification.AdaBoostClassifier.maxLearnerCount data-toc-label='[attribute] maxLearnerCount'}
 
 Get the maximum number of learners in the ensemble.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.AdaBoostClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.AdaBoostClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -117,7 +117,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.AdaBoostClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.AdaBoostClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -150,7 +150,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.AdaBoostClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.AdaBoostClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -177,7 +177,7 @@ This classifier is not modified.
     ) -> fittedClassifier: AdaBoostClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -197,7 +197,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -237,7 +237,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -257,7 +257,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.AdaBoostClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.AdaBoostClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -289,7 +289,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.AdaBoostClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.AdaBoostClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -316,7 +316,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.AdaBoostClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.AdaBoostClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -348,7 +348,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.AdaBoostClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.AdaBoostClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/Classifier.md b/docs/api/safeds/ml/classical/classification/Classifier.md
index 1242a0f1c..fb360a995 100644
--- a/docs/api/safeds/ml/classical/classification/Classifier.md
+++ b/docs/api/safeds/ml/classical/classification/Classifier.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Classifier` {#safeds.ml.classical.classification.Classifier data-toc-label='[abstract class] Classifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `Classifier` {#safeds.ml.classical.classification.Classifier data-toc-label='[class] Classifier'}
 
 A model for classification tasks.
 
@@ -16,10 +16,8 @@ A model for classification tasks.
 - [`GradientBoostingClassifier`][safeds.ml.classical.classification.GradientBoostingClassifier]
 - [`KNearestNeighborsClassifier`][safeds.ml.classical.classification.KNearestNeighborsClassifier]
 - [`LogisticClassifier`][safeds.ml.classical.classification.LogisticClassifier]
-- `#!sds LogisticRegressionClassifier`
 - [`RandomForestClassifier`][safeds.ml.classical.classification.RandomForestClassifier]
 - [`SupportVectorClassifier`][safeds.ml.classical.classification.SupportVectorClassifier]
-- `#!sds SupportVectorMachineClassifier`
 
 ??? quote "Stub code in `Classifier.sdsstub`"
 
@@ -133,13 +131,13 @@ A model for classification tasks.
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.Classifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.Classifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.Classifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.Classifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -169,7 +167,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.Classifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.Classifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -202,7 +200,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.Classifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.Classifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this model and fit it with the given training data.
 
@@ -229,7 +227,7 @@ Create a copy of this model and fit it with the given training data.
     ) -> fittedModel: Classifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.Classifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.Classifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -249,7 +247,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.Classifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.Classifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -269,7 +267,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.Classifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.Classifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -289,7 +287,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.Classifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.Classifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -309,7 +307,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.Classifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.Classifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -341,7 +339,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.Classifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.Classifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -368,7 +366,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.Classifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.Classifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -400,7 +398,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.Classifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.Classifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md b/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
index c39d87459..f8a2c1c11 100644
--- a/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `DecisionTreeClassifier` {#safeds.ml.classical.classification.DecisionTreeClassifier data-toc-label='[class] DecisionTreeClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `DecisionTreeClassifier` {#safeds.ml.classical.classification.DecisionTreeClassifier data-toc-label='[class] DecisionTreeClassifier'}
 
 Decision tree classification.
 
@@ -56,25 +56,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.DecisionTreeClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.DecisionTreeClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `maxDepth` {#safeds.ml.classical.classification.DecisionTreeClassifier.maxDepth data-toc-label='[attr] maxDepth'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxDepth` {#safeds.ml.classical.classification.DecisionTreeClassifier.maxDepth data-toc-label='[attribute] maxDepth'}
 
 The maximum depth of the tree.
 
 **Type:** [`Int?`][safeds.lang.Int]
 
-## `#!sds attr` `minSampleCountInLeaves` {#safeds.ml.classical.classification.DecisionTreeClassifier.minSampleCountInLeaves data-toc-label='[attr] minSampleCountInLeaves'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `minSampleCountInLeaves` {#safeds.ml.classical.classification.DecisionTreeClassifier.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
 
 The minimum number of samples that must remain in the leaves of the tree.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.DecisionTreeClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.DecisionTreeClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -104,7 +104,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.DecisionTreeClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.DecisionTreeClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -137,7 +137,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.DecisionTreeClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.DecisionTreeClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -164,7 +164,7 @@ This classifier is not modified.
     ) -> fittedClassifier: DecisionTreeClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -184,7 +184,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -204,7 +204,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -224,7 +224,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -244,7 +244,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.DecisionTreeClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.DecisionTreeClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -276,7 +276,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.DecisionTreeClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.DecisionTreeClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -303,7 +303,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.DecisionTreeClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.DecisionTreeClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -335,7 +335,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.DecisionTreeClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.DecisionTreeClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md b/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
index 80659c576..0b0c0a05d 100644
--- a/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `GradientBoostingClassifier` {#safeds.ml.classical.classification.GradientBoostingClassifier data-toc-label='[class] GradientBoostingClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `GradientBoostingClassifier` {#safeds.ml.classical.classification.GradientBoostingClassifier data-toc-label='[class] GradientBoostingClassifier'}
 
 Gradient boosting classification.
 
@@ -57,25 +57,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.GradientBoostingClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.GradientBoostingClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `learningRate` {#safeds.ml.classical.classification.GradientBoostingClassifier.learningRate data-toc-label='[attr] learningRate'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learningRate` {#safeds.ml.classical.classification.GradientBoostingClassifier.learningRate data-toc-label='[attribute] learningRate'}
 
 Get the learning rate.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `treeCount` {#safeds.ml.classical.classification.GradientBoostingClassifier.treeCount data-toc-label='[attr] treeCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `treeCount` {#safeds.ml.classical.classification.GradientBoostingClassifier.treeCount data-toc-label='[attribute] treeCount'}
 
 Get the number of trees (estimators) in the ensemble.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.GradientBoostingClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.GradientBoostingClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -105,7 +105,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.GradientBoostingClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.GradientBoostingClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -138,7 +138,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.GradientBoostingClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.GradientBoostingClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -165,7 +165,7 @@ This classifier is not modified.
     ) -> fittedClassifier: GradientBoostingClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -185,7 +185,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -205,7 +205,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -225,7 +225,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -245,7 +245,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.GradientBoostingClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.GradientBoostingClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -277,7 +277,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.GradientBoostingClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.GradientBoostingClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -304,7 +304,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.GradientBoostingClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.GradientBoostingClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -336,7 +336,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.GradientBoostingClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.GradientBoostingClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md b/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
index 2d7325ffb..7c7c106fa 100644
--- a/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `KNearestNeighborsClassifier` {#safeds.ml.classical.classification.KNearestNeighborsClassifier data-toc-label='[class] KNearestNeighborsClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `KNearestNeighborsClassifier` {#safeds.ml.classical.classification.KNearestNeighborsClassifier data-toc-label='[class] KNearestNeighborsClassifier'}
 
 K-nearest-neighbors classification.
 
@@ -50,19 +50,19 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `neighborCount` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.neighborCount data-toc-label='[attr] neighborCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `neighborCount` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.neighborCount data-toc-label='[attribute] neighborCount'}
 
 Get the number of neighbors used for interpolation.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -92,7 +92,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -125,7 +125,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -152,7 +152,7 @@ This classifier is not modified.
     ) -> fittedClassifier: KNearestNeighborsClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -172,7 +172,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -192,7 +192,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -212,7 +212,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -232,7 +232,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -264,7 +264,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -291,7 +291,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -323,7 +323,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/LogisticClassifier.md b/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
index a8c823c03..af43a1164 100644
--- a/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `LogisticClassifier` {#safeds.ml.classical.classification.LogisticClassifier data-toc-label='[class] LogisticClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `LogisticClassifier` {#safeds.ml.classical.classification.LogisticClassifier data-toc-label='[class] LogisticClassifier'}
 
 Regularized logistic regression.
 
@@ -35,13 +35,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.LogisticClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.LogisticClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.LogisticClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.LogisticClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -71,7 +71,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.LogisticClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.LogisticClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -104,7 +104,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.LogisticClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.LogisticClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -131,7 +131,7 @@ This classifier is not modified.
     ) -> fittedClassifier: LogisticClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.LogisticClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.LogisticClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -151,7 +151,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.LogisticClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.LogisticClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -171,7 +171,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.LogisticClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.LogisticClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -191,7 +191,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.LogisticClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.LogisticClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -211,7 +211,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.LogisticClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.LogisticClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -243,7 +243,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.LogisticClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.LogisticClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -270,7 +270,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.LogisticClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.LogisticClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -302,7 +302,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.LogisticClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.LogisticClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md b/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
index d6a175ca0..09ee8c075 100644
--- a/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `RandomForestClassifier` {#safeds.ml.classical.classification.RandomForestClassifier data-toc-label='[class] RandomForestClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `RandomForestClassifier` {#safeds.ml.classical.classification.RandomForestClassifier data-toc-label='[class] RandomForestClassifier'}
 
 Random forest classification.
 
@@ -63,31 +63,31 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.RandomForestClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.RandomForestClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `maxDepth` {#safeds.ml.classical.classification.RandomForestClassifier.maxDepth data-toc-label='[attr] maxDepth'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxDepth` {#safeds.ml.classical.classification.RandomForestClassifier.maxDepth data-toc-label='[attribute] maxDepth'}
 
 The maximum depth of each tree.
 
 **Type:** [`Int?`][safeds.lang.Int]
 
-## `#!sds attr` `minSampleCountInLeaves` {#safeds.ml.classical.classification.RandomForestClassifier.minSampleCountInLeaves data-toc-label='[attr] minSampleCountInLeaves'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `minSampleCountInLeaves` {#safeds.ml.classical.classification.RandomForestClassifier.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
 
 The minimum number of samples that must remain in the leaves of each tree.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `treeCount` {#safeds.ml.classical.classification.RandomForestClassifier.treeCount data-toc-label='[attr] treeCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `treeCount` {#safeds.ml.classical.classification.RandomForestClassifier.treeCount data-toc-label='[attribute] treeCount'}
 
 Get the number of trees used in the random forest.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.RandomForestClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.RandomForestClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -117,7 +117,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.RandomForestClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.RandomForestClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -150,7 +150,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.RandomForestClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.RandomForestClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -177,7 +177,7 @@ This classifier is not modified.
     ) -> fittedClassifier: RandomForestClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.RandomForestClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.RandomForestClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -197,7 +197,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.RandomForestClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.RandomForestClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -237,7 +237,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -257,7 +257,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.RandomForestClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.RandomForestClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -289,7 +289,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.RandomForestClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.RandomForestClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -316,7 +316,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.RandomForestClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.RandomForestClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -348,7 +348,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.RandomForestClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.RandomForestClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md b/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
index 11c4125bd..d714af697 100644
--- a/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` `SupportVectorClassifier` {#safeds.ml.classical.classification.SupportVectorClassifier data-toc-label='[class] SupportVectorClassifier'}
+# <code class="doc-symbol doc-symbol-class"></code> `SupportVectorClassifier` {#safeds.ml.classical.classification.SupportVectorClassifier data-toc-label='[class] SupportVectorClassifier'}
 
 Support vector machine for classification.
 
@@ -91,25 +91,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `c` {#safeds.ml.classical.classification.SupportVectorClassifier.c data-toc-label='[attr] c'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `c` {#safeds.ml.classical.classification.SupportVectorClassifier.c data-toc-label='[attribute] c'}
 
 Get the regularization strength.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.classification.SupportVectorClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.classification.SupportVectorClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.kernel data-toc-label='[attr] kernel'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.kernel data-toc-label='[attribute] kernel'}
 
 Get the type of kernel used.
 
 **Type:** [`Kernel`][safeds.ml.classical.classification.SupportVectorClassifier.Kernel]
 
-## `#!sds fun` `accuracy` {#safeds.ml.classical.classification.SupportVectorClassifier.accuracy data-toc-label='[fun] accuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `accuracy` {#safeds.ml.classical.classification.SupportVectorClassifier.accuracy data-toc-label='[function] accuracy'}
 
 Compute the accuracy of the classifier on the given data.
 
@@ -139,7 +139,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds fun` `f1Score` {#safeds.ml.classical.classification.SupportVectorClassifier.f1Score data-toc-label='[fun] f1Score'}
+## <code class="doc-symbol doc-symbol-function"></code> `f1Score` {#safeds.ml.classical.classification.SupportVectorClassifier.f1Score data-toc-label='[function] f1Score'}
 
 Compute the classifier's F₁ score on the given data.
 
@@ -172,7 +172,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.classification.SupportVectorClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.classification.SupportVectorClassifier.fit data-toc-label='[function] fit'}
 
 Create a copy of this classifier and fit it with the given training data.
 
@@ -199,7 +199,7 @@ This classifier is not modified.
     ) -> fittedClassifier: SupportVectorClassifier
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -219,7 +219,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -239,7 +239,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -259,7 +259,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -279,7 +279,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `precision` {#safeds.ml.classical.classification.SupportVectorClassifier.precision data-toc-label='[fun] precision'}
+## <code class="doc-symbol doc-symbol-function"></code> `precision` {#safeds.ml.classical.classification.SupportVectorClassifier.precision data-toc-label='[function] precision'}
 
 Compute the classifier's precision on the given data.
 
@@ -311,7 +311,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.classification.SupportVectorClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.classification.SupportVectorClassifier.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -338,7 +338,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `recall` {#safeds.ml.classical.classification.SupportVectorClassifier.recall data-toc-label='[fun] recall'}
+## <code class="doc-symbol doc-symbol-function"></code> `recall` {#safeds.ml.classical.classification.SupportVectorClassifier.recall data-toc-label='[function] recall'}
 
 Compute the classifier's recall on the given data.
 
@@ -370,7 +370,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.classification.SupportVectorClassifier.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.classification.SupportVectorClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the classifier's metrics on the given data.
 
@@ -400,7 +400,7 @@ Summarize the classifier's metrics on the given data.
     ) -> metrics: Table
     ```
 
-## `#!sds enum` `Kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel data-toc-label='[enum] Kernel'}
+## <code class="doc-symbol doc-symbol-enum"></code> `Kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel data-toc-label='[enum] Kernel'}
 
 The kernel functions that can be used in the support vector machine.
 
@@ -438,11 +438,11 @@ The kernel functions that can be used in the support vector machine.
     }
     ```
 
-### `Linear` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Linear data-toc-label='Linear'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Linear` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Linear data-toc-label='[variant] Linear'}
 
 A linear kernel.
 
-### `Polynomial` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Polynomial data-toc-label='Polynomial'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Polynomial` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Polynomial data-toc-label='[variant] Polynomial'}
 
 A polynomial kernel.
 
@@ -452,10 +452,10 @@ A polynomial kernel.
 |------|------|-------------|---------|
 | `degree` | [`Int`][safeds.lang.Int] | The degree of the polynomial. | - |
 
-### `RadialBasisFunction` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.RadialBasisFunction data-toc-label='RadialBasisFunction'}
+### <code class="doc-symbol doc-symbol-variant"></code> `RadialBasisFunction` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.RadialBasisFunction data-toc-label='[variant] RadialBasisFunction'}
 
 A radial basis function kernel.
 
-### `Sigmoid` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Sigmoid data-toc-label='Sigmoid'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Sigmoid` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Sigmoid data-toc-label='[variant] Sigmoid'}
 
 A sigmoid kernel.
diff --git a/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md b/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
index ba65d6547..219de9860 100644
--- a/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `AdaBoostRegressor` {#safeds.ml.classical.regression.AdaBoostRegressor data-toc-label='[class] AdaBoostRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `AdaBoostRegressor` {#safeds.ml.classical.regression.AdaBoostRegressor data-toc-label='[class] AdaBoostRegressor'}
 
 Ada Boost regression.
 
@@ -63,31 +63,31 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.AdaBoostRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.AdaBoostRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `learner` {#safeds.ml.classical.regression.AdaBoostRegressor.learner data-toc-label='[attr] learner'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learner` {#safeds.ml.classical.regression.AdaBoostRegressor.learner data-toc-label='[attribute] learner'}
 
 Get the base learner used for training the ensemble.
 
 **Type:** [`Regressor`][safeds.ml.classical.regression.Regressor]
 
-## `#!sds attr` `learningRate` {#safeds.ml.classical.regression.AdaBoostRegressor.learningRate data-toc-label='[attr] learningRate'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learningRate` {#safeds.ml.classical.regression.AdaBoostRegressor.learningRate data-toc-label='[attribute] learningRate'}
 
 Get the learning rate.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `maxLearnerCount` {#safeds.ml.classical.regression.AdaBoostRegressor.maxLearnerCount data-toc-label='[attr] maxLearnerCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxLearnerCount` {#safeds.ml.classical.regression.AdaBoostRegressor.maxLearnerCount data-toc-label='[attribute] maxLearnerCount'}
 
 Get the maximum number of learners in the ensemble.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.AdaBoostRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.AdaBoostRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -128,7 +128,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.AdaBoostRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.AdaBoostRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -155,7 +155,7 @@ This regressor is not modified.
     ) -> fittedRegressor: AdaBoostRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -175,7 +175,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -195,7 +195,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -215,7 +215,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -235,7 +235,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -265,7 +265,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.AdaBoostRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.AdaBoostRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -299,7 +299,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -331,7 +331,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.AdaBoostRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.AdaBoostRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -361,7 +361,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.AdaBoostRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.AdaBoostRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -388,7 +388,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.AdaBoostRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.AdaBoostRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/ArimaRegressor.md b/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
index b258b461f..70df0e492 100644
--- a/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `ArimaRegressor` {#safeds.ml.classical.regression.ArimaRegressor data-toc-label='[class] ArimaRegressor'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `ArimaRegressor` {#safeds.ml.classical.regression.ArimaRegressor data-toc-label='[class] ArimaRegressor'}
 
 Auto Regressive Integrated Moving Average Model.
 
@@ -60,13 +60,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.ArimaRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.ArimaRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the regressor is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.ArimaRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.ArimaRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this ARIMA Model and fit it with the given training data.
 
@@ -93,7 +93,7 @@ This ARIMA Model is not modified.
     ) -> fittedArima: ArimaRegressor
     ```
 
-## `#!sds fun` `plotPredictions` {#safeds.ml.classical.regression.ArimaRegressor.plotPredictions data-toc-label='[fun] plotPredictions'}
+## <code class="doc-symbol doc-symbol-function"></code> `plotPredictions` {#safeds.ml.classical.regression.ArimaRegressor.plotPredictions data-toc-label='[function] plotPredictions'}
 
 Plot the predictions of the trained model to the given target of the time series. So you can see the predictions and the actual values in one plot.
 
@@ -119,7 +119,7 @@ Plot the predictions of the trained model to the given target of the time series
     ) -> image: Image
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.ArimaRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.ArimaRegressor.predict data-toc-label='[function] predict'}
 
 Predict a target vector using a time series target column. The model has to be trained first.
 
diff --git a/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md b/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
index 3ebe7a0b0..308dc050a 100644
--- a/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `DecisionTreeRegressor` {#safeds.ml.classical.regression.DecisionTreeRegressor data-toc-label='[class] DecisionTreeRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `DecisionTreeRegressor` {#safeds.ml.classical.regression.DecisionTreeRegressor data-toc-label='[class] DecisionTreeRegressor'}
 
 Decision tree regression.
 
@@ -56,25 +56,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.DecisionTreeRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.DecisionTreeRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `maxDepth` {#safeds.ml.classical.regression.DecisionTreeRegressor.maxDepth data-toc-label='[attr] maxDepth'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxDepth` {#safeds.ml.classical.regression.DecisionTreeRegressor.maxDepth data-toc-label='[attribute] maxDepth'}
 
 The maximum depth of the tree.
 
 **Type:** [`Int?`][safeds.lang.Int]
 
-## `#!sds attr` `minSampleCountInLeaves` {#safeds.ml.classical.regression.DecisionTreeRegressor.minSampleCountInLeaves data-toc-label='[attr] minSampleCountInLeaves'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `minSampleCountInLeaves` {#safeds.ml.classical.regression.DecisionTreeRegressor.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
 
 The minimum number of samples that must remain in the leaves of the tree.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.DecisionTreeRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.DecisionTreeRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -115,7 +115,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.DecisionTreeRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.DecisionTreeRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -142,7 +142,7 @@ This regressor is not modified.
     ) -> fittedRegressor: DecisionTreeRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -162,7 +162,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -182,7 +182,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -202,7 +202,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -222,7 +222,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -252,7 +252,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -286,7 +286,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -318,7 +318,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.DecisionTreeRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.DecisionTreeRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -348,7 +348,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.DecisionTreeRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.DecisionTreeRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -375,7 +375,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.DecisionTreeRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.DecisionTreeRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md b/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
index aa940fd51..5bc715b2b 100644
--- a/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `ElasticNetRegressor` {#safeds.ml.classical.regression.ElasticNetRegressor data-toc-label='[class] ElasticNetRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `ElasticNetRegressor` {#safeds.ml.classical.regression.ElasticNetRegressor data-toc-label='[class] ElasticNetRegressor'}
 
 Elastic net regression.
 
@@ -58,25 +58,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `alpha` {#safeds.ml.classical.regression.ElasticNetRegressor.alpha data-toc-label='[attr] alpha'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `alpha` {#safeds.ml.classical.regression.ElasticNetRegressor.alpha data-toc-label='[attribute] alpha'}
 
 Get the regularization of the model.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.ElasticNetRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.ElasticNetRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `lassoRatio` {#safeds.ml.classical.regression.ElasticNetRegressor.lassoRatio data-toc-label='[attr] lassoRatio'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `lassoRatio` {#safeds.ml.classical.regression.ElasticNetRegressor.lassoRatio data-toc-label='[attribute] lassoRatio'}
 
 Get the ratio between Lasso and Ridge regularization.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.ElasticNetRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.ElasticNetRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -117,7 +117,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.ElasticNetRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.ElasticNetRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -144,7 +144,7 @@ This regressor is not modified.
     ) -> fittedRegressor: ElasticNetRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -164,7 +164,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -184,7 +184,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -204,7 +204,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -224,7 +224,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -254,7 +254,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.ElasticNetRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.ElasticNetRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -288,7 +288,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -320,7 +320,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.ElasticNetRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.ElasticNetRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -350,7 +350,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.ElasticNetRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.ElasticNetRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -377,7 +377,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.ElasticNetRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.ElasticNetRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md b/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
index 601a6eb89..cc69bd2f2 100644
--- a/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `GradientBoostingRegressor` {#safeds.ml.classical.regression.GradientBoostingRegressor data-toc-label='[class] GradientBoostingRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `GradientBoostingRegressor` {#safeds.ml.classical.regression.GradientBoostingRegressor data-toc-label='[class] GradientBoostingRegressor'}
 
 Gradient boosting regression.
 
@@ -57,25 +57,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.GradientBoostingRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.GradientBoostingRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `learningRate` {#safeds.ml.classical.regression.GradientBoostingRegressor.learningRate data-toc-label='[attr] learningRate'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `learningRate` {#safeds.ml.classical.regression.GradientBoostingRegressor.learningRate data-toc-label='[attribute] learningRate'}
 
 Get the learning rate.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `treeCount` {#safeds.ml.classical.regression.GradientBoostingRegressor.treeCount data-toc-label='[attr] treeCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `treeCount` {#safeds.ml.classical.regression.GradientBoostingRegressor.treeCount data-toc-label='[attribute] treeCount'}
 
 Get the number of trees (estimators) in the ensemble.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.GradientBoostingRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.GradientBoostingRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -116,7 +116,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.GradientBoostingRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.GradientBoostingRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -143,7 +143,7 @@ This regressor is not modified.
     ) -> fittedRegressor: GradientBoostingRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -163,7 +163,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -183,7 +183,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -203,7 +203,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -223,7 +223,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -253,7 +253,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -287,7 +287,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -319,7 +319,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.GradientBoostingRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.GradientBoostingRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -349,7 +349,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.GradientBoostingRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.GradientBoostingRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -376,7 +376,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.GradientBoostingRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.GradientBoostingRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md b/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
index 50d8bdb57..01fe4c71f 100644
--- a/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `KNearestNeighborsRegressor` {#safeds.ml.classical.regression.KNearestNeighborsRegressor data-toc-label='[class] KNearestNeighborsRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `KNearestNeighborsRegressor` {#safeds.ml.classical.regression.KNearestNeighborsRegressor data-toc-label='[class] KNearestNeighborsRegressor'}
 
 K-nearest-neighbors regression.
 
@@ -50,19 +50,19 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `neighborCount` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.neighborCount data-toc-label='[attr] neighborCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `neighborCount` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.neighborCount data-toc-label='[attribute] neighborCount'}
 
 Get the number of neighbors used for interpolation.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -130,7 +130,7 @@ This regressor is not modified.
     ) -> fittedRegressor: KNearestNeighborsRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -150,7 +150,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -190,7 +190,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -210,7 +210,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -240,7 +240,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -306,7 +306,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -336,7 +336,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/LassoRegressor.md b/docs/api/safeds/ml/classical/regression/LassoRegressor.md
index a0728a90d..02a7a863d 100644
--- a/docs/api/safeds/ml/classical/regression/LassoRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/LassoRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `LassoRegressor` {#safeds.ml.classical.regression.LassoRegressor data-toc-label='[class] LassoRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `LassoRegressor` {#safeds.ml.classical.regression.LassoRegressor data-toc-label='[class] LassoRegressor'}
 
 Lasso regression.
 
@@ -50,19 +50,19 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `alpha` {#safeds.ml.classical.regression.LassoRegressor.alpha data-toc-label='[attr] alpha'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `alpha` {#safeds.ml.classical.regression.LassoRegressor.alpha data-toc-label='[attribute] alpha'}
 
 Get the regularization of the model.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.LassoRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.LassoRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.LassoRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.LassoRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.LassoRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.LassoRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -130,7 +130,7 @@ This regressor is not modified.
     ) -> fittedRegressor: LassoRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.LassoRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.LassoRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -150,7 +150,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.LassoRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.LassoRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.LassoRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.LassoRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -190,7 +190,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.LassoRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.LassoRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -210,7 +210,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.LassoRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.LassoRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -240,7 +240,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LassoRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LassoRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.LassoRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.LassoRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -306,7 +306,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LassoRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LassoRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -336,7 +336,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.LassoRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.LassoRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.LassoRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.LassoRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/LinearRegressor.md b/docs/api/safeds/ml/classical/regression/LinearRegressor.md
index 2a74d27c8..9207ac4fd 100644
--- a/docs/api/safeds/ml/classical/regression/LinearRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/LinearRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `LinearRegressor` {#safeds.ml.classical.regression.LinearRegressor data-toc-label='[class] LinearRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `LinearRegressor` {#safeds.ml.classical.regression.LinearRegressor data-toc-label='[class] LinearRegressor'}
 
 Linear regression.
 
@@ -35,13 +35,13 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.LinearRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.LinearRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.LinearRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.LinearRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -82,7 +82,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.LinearRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.LinearRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -109,7 +109,7 @@ This regressor is not modified.
     ) -> fittedRegressor: LinearRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.LinearRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.LinearRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -129,7 +129,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.LinearRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.LinearRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -149,7 +149,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.LinearRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.LinearRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -169,7 +169,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.LinearRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.LinearRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -189,7 +189,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.LinearRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.LinearRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -219,7 +219,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LinearRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LinearRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -253,7 +253,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.LinearRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.LinearRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -285,7 +285,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LinearRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LinearRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -315,7 +315,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.LinearRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.LinearRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -342,7 +342,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.LinearRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.LinearRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md b/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
index dbddfa6c4..104fb5180 100644
--- a/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `RandomForestRegressor` {#safeds.ml.classical.regression.RandomForestRegressor data-toc-label='[class] RandomForestRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `RandomForestRegressor` {#safeds.ml.classical.regression.RandomForestRegressor data-toc-label='[class] RandomForestRegressor'}
 
 Random forest regression.
 
@@ -63,31 +63,31 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.RandomForestRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.RandomForestRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `maxDepth` {#safeds.ml.classical.regression.RandomForestRegressor.maxDepth data-toc-label='[attr] maxDepth'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `maxDepth` {#safeds.ml.classical.regression.RandomForestRegressor.maxDepth data-toc-label='[attribute] maxDepth'}
 
 The maximum depth of each tree.
 
 **Type:** [`Int?`][safeds.lang.Int]
 
-## `#!sds attr` `minSampleCountInLeaves` {#safeds.ml.classical.regression.RandomForestRegressor.minSampleCountInLeaves data-toc-label='[attr] minSampleCountInLeaves'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `minSampleCountInLeaves` {#safeds.ml.classical.regression.RandomForestRegressor.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
 
 The minimum number of samples that must remain in the leaves of each tree.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `treeCount` {#safeds.ml.classical.regression.RandomForestRegressor.treeCount data-toc-label='[attr] treeCount'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `treeCount` {#safeds.ml.classical.regression.RandomForestRegressor.treeCount data-toc-label='[attribute] treeCount'}
 
 Get the number of trees used in the random forest.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.RandomForestRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.RandomForestRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -128,7 +128,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.RandomForestRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.RandomForestRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -155,7 +155,7 @@ This regressor is not modified.
     ) -> fittedRegressor: RandomForestRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.RandomForestRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.RandomForestRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -175,7 +175,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.RandomForestRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.RandomForestRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -195,7 +195,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -215,7 +215,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -235,7 +235,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.RandomForestRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.RandomForestRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -265,7 +265,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RandomForestRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RandomForestRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -299,7 +299,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.RandomForestRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.RandomForestRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -331,7 +331,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RandomForestRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RandomForestRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -361,7 +361,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.RandomForestRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.RandomForestRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -388,7 +388,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.RandomForestRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.RandomForestRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/Regressor.md b/docs/api/safeds/ml/classical/regression/Regressor.md
index d66489d1d..98e44172f 100644
--- a/docs/api/safeds/ml/classical/regression/Regressor.md
+++ b/docs/api/safeds/ml/classical/regression/Regressor.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# `#!sds abstract class` `Regressor` {#safeds.ml.classical.regression.Regressor data-toc-label='[abstract class] Regressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `Regressor` {#safeds.ml.classical.regression.Regressor data-toc-label='[class] Regressor'}
 
 A model for regression tasks.
 
@@ -17,11 +17,9 @@ A model for regression tasks.
 - [`GradientBoostingRegressor`][safeds.ml.classical.regression.GradientBoostingRegressor]
 - [`KNearestNeighborsRegressor`][safeds.ml.classical.regression.KNearestNeighborsRegressor]
 - [`LassoRegressor`][safeds.ml.classical.regression.LassoRegressor]
-- `#!sds LinearRegressionRegressor`
 - [`LinearRegressor`][safeds.ml.classical.regression.LinearRegressor]
 - [`RandomForestRegressor`][safeds.ml.classical.regression.RandomForestRegressor]
 - [`RidgeRegressor`][safeds.ml.classical.regression.RidgeRegressor]
-- `#!sds SupportVectorMachineRegressor`
 - [`SupportVectorRegressor`][safeds.ml.classical.regression.SupportVectorRegressor]
 
 ??? quote "Stub code in `Regressor.sdsstub`"
@@ -159,13 +157,13 @@ A model for regression tasks.
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.Regressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.Regressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.Regressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.Regressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -206,7 +204,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.Regressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.Regressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this model and fit it with the given training data.
 
@@ -233,7 +231,7 @@ Create a copy of this model and fit it with the given training data.
     ) -> fittedModel: Regressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.Regressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.Regressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -253,7 +251,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.Regressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.Regressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -273,7 +271,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.Regressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.Regressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -293,7 +291,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.Regressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.Regressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -313,7 +311,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.Regressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.Regressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -343,7 +341,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.Regressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.Regressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -377,7 +375,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.Regressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.Regressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -409,7 +407,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.Regressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.Regressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -439,7 +437,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.Regressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.Regressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -466,7 +464,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.Regressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.Regressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/RidgeRegressor.md b/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
index 4bf1465bd..f901f6e33 100644
--- a/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `RidgeRegressor` {#safeds.ml.classical.regression.RidgeRegressor data-toc-label='[class] RidgeRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `RidgeRegressor` {#safeds.ml.classical.regression.RidgeRegressor data-toc-label='[class] RidgeRegressor'}
 
 Ridge regression.
 
@@ -50,19 +50,19 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `alpha` {#safeds.ml.classical.regression.RidgeRegressor.alpha data-toc-label='[attr] alpha'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `alpha` {#safeds.ml.classical.regression.RidgeRegressor.alpha data-toc-label='[attribute] alpha'}
 
 Get the regularization of the model.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.RidgeRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.RidgeRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.RidgeRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.RidgeRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.RidgeRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.RidgeRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -130,7 +130,7 @@ This regressor is not modified.
     ) -> fittedRegressor: RidgeRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.RidgeRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.RidgeRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -150,7 +150,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.RidgeRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.RidgeRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.RidgeRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.RidgeRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -190,7 +190,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.RidgeRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.RidgeRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -210,7 +210,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.RidgeRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.RidgeRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -240,7 +240,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RidgeRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RidgeRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.RidgeRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.RidgeRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -306,7 +306,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RidgeRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RidgeRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -336,7 +336,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.RidgeRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.RidgeRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.RidgeRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.RidgeRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
diff --git a/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md b/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
index 0ab550fc1..0971060ab 100644
--- a/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` `SupportVectorRegressor` {#safeds.ml.classical.regression.SupportVectorRegressor data-toc-label='[class] SupportVectorRegressor'}
+# <code class="doc-symbol doc-symbol-class"></code> `SupportVectorRegressor` {#safeds.ml.classical.regression.SupportVectorRegressor data-toc-label='[class] SupportVectorRegressor'}
 
 Support vector machine for regression.
 
@@ -91,25 +91,25 @@ pipeline example {
     }
     ```
 
-## `#!sds attr` `c` {#safeds.ml.classical.regression.SupportVectorRegressor.c data-toc-label='[attr] c'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `c` {#safeds.ml.classical.regression.SupportVectorRegressor.c data-toc-label='[attribute] c'}
 
 Get the regularization strength.
 
 **Type:** [`Float`][safeds.lang.Float]
 
-## `#!sds attr` `isFitted` {#safeds.ml.classical.regression.SupportVectorRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.classical.regression.SupportVectorRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the model is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds attr` `kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.kernel data-toc-label='[attr] kernel'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.kernel data-toc-label='[attribute] kernel'}
 
 Get the type of kernel used.
 
 **Type:** [`Kernel`][safeds.ml.classical.regression.SupportVectorRegressor.Kernel]
 
-## `#!sds fun` `coefficientOfDetermination` {#safeds.ml.classical.regression.SupportVectorRegressor.coefficientOfDetermination data-toc-label='[fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-function"></code> `coefficientOfDetermination` {#safeds.ml.classical.regression.SupportVectorRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) of the regressor on the given data.
 
@@ -150,7 +150,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds fun` `fit` {#safeds.ml.classical.regression.SupportVectorRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.classical.regression.SupportVectorRegressor.fit data-toc-label='[function] fit'}
 
 Create a copy of this regressor and fit it with the given training data.
 
@@ -177,7 +177,7 @@ This regressor is not modified.
     ) -> fittedRegressor: SupportVectorRegressor
     ```
 
-## `#!sds fun` `getFeatureNames` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeatureNames data-toc-label='[fun] getFeatureNames'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeatureNames` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
 
 Return the names of the feature columns.
 
@@ -197,7 +197,7 @@ Return the names of the feature columns.
     fun getFeatureNames() -> featureNames: List<String>
     ```
 
-## `#!sds fun` `getFeaturesSchema` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeaturesSchema data-toc-label='[fun] getFeaturesSchema'}
+## <code class="doc-symbol doc-symbol-function"></code> `getFeaturesSchema` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
 
 Return the schema of the feature columns.
 
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
     fun getFeaturesSchema() -> featureSchema: Schema
     ```
 
-## `#!sds fun` `getTargetName` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetName data-toc-label='[fun] getTargetName'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetName` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetName data-toc-label='[function] getTargetName'}
 
 Return the name of the target column.
 
@@ -237,7 +237,7 @@ Return the name of the target column.
     fun getTargetName() -> targetName: String
     ```
 
-## `#!sds fun` `getTargetType` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetType data-toc-label='[fun] getTargetType'}
+## <code class="doc-symbol doc-symbol-function"></code> `getTargetType` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetType data-toc-label='[function] getTargetType'}
 
 Return the type of the target column.
 
@@ -257,7 +257,7 @@ Return the type of the target column.
     fun getTargetType() -> targetType: DataType
     ```
 
-## `#!sds fun` `meanAbsoluteError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanAbsoluteError data-toc-label='[fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanAbsoluteError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) of the regressor on the given data.
 
@@ -287,7 +287,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds fun` `meanDirectionalAccuracy` {#safeds.ml.classical.regression.SupportVectorRegressor.meanDirectionalAccuracy data-toc-label='[fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanDirectionalAccuracy` {#safeds.ml.classical.regression.SupportVectorRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) of the regressor on the given data.
 
@@ -321,7 +321,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds fun` `meanSquaredError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanSquaredError data-toc-label='[fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-function"></code> `meanSquaredError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
 
 Compute the mean squared error (MSE) of the regressor on the given data.
 
@@ -353,7 +353,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds fun` `medianAbsoluteDeviation` {#safeds.ml.classical.regression.SupportVectorRegressor.medianAbsoluteDeviation data-toc-label='[fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-function"></code> `medianAbsoluteDeviation` {#safeds.ml.classical.regression.SupportVectorRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) of the regressor on the given data.
 
@@ -383,7 +383,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.classical.regression.SupportVectorRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.classical.regression.SupportVectorRegressor.predict data-toc-label='[function] predict'}
 
 Predict the target values on the given dataset.
 
@@ -410,7 +410,7 @@ Predict the target values on the given dataset.
     ) -> prediction: TabularDataset
     ```
 
-## `#!sds fun` `summarizeMetrics` {#safeds.ml.classical.regression.SupportVectorRegressor.summarizeMetrics data-toc-label='[fun] summarizeMetrics'}
+## <code class="doc-symbol doc-symbol-function"></code> `summarizeMetrics` {#safeds.ml.classical.regression.SupportVectorRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
 
 Summarize the regressor's metrics on the given data.
 
@@ -436,7 +436,7 @@ Summarize the regressor's metrics on the given data.
     ) -> metrics: Table
     ```
 
-## `#!sds enum` `Kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel data-toc-label='[enum] Kernel'}
+## <code class="doc-symbol doc-symbol-enum"></code> `Kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel data-toc-label='[enum] Kernel'}
 
 The kernel functions that can be used in the support vector machine.
 
@@ -474,11 +474,11 @@ The kernel functions that can be used in the support vector machine.
     }
     ```
 
-### `Linear` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Linear data-toc-label='Linear'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Linear` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Linear data-toc-label='[variant] Linear'}
 
 A linear kernel.
 
-### `Polynomial` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Polynomial data-toc-label='Polynomial'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Polynomial` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Polynomial data-toc-label='[variant] Polynomial'}
 
 A polynomial kernel.
 
@@ -488,10 +488,10 @@ A polynomial kernel.
 |------|------|-------------|---------|
 | `degree` | [`Int`][safeds.lang.Int] | The degree of the polynomial. | - |
 
-### `RadialBasisFunction` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.RadialBasisFunction data-toc-label='RadialBasisFunction'}
+### <code class="doc-symbol doc-symbol-variant"></code> `RadialBasisFunction` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.RadialBasisFunction data-toc-label='[variant] RadialBasisFunction'}
 
 A radial basis function kernel.
 
-### `Sigmoid` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Sigmoid data-toc-label='Sigmoid'}
+### <code class="doc-symbol doc-symbol-variant"></code> `Sigmoid` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Sigmoid data-toc-label='[variant] Sigmoid'}
 
 A sigmoid kernel.
diff --git a/docs/api/safeds/ml/metrics/ClassificationMetrics.md b/docs/api/safeds/ml/metrics/ClassificationMetrics.md
index 89de632b8..27f40f016 100644
--- a/docs/api/safeds/ml/metrics/ClassificationMetrics.md
+++ b/docs/api/safeds/ml/metrics/ClassificationMetrics.md
@@ -1,4 +1,4 @@
-# `#!sds abstract class` `ClassificationMetrics` {#safeds.ml.metrics.ClassificationMetrics data-toc-label='[abstract class] ClassificationMetrics'}
+# <code class="doc-symbol doc-symbol-class"></code> `ClassificationMetrics` {#safeds.ml.metrics.ClassificationMetrics data-toc-label='[class] ClassificationMetrics'}
 
 A collection of classification metrics.
 
@@ -99,7 +99,7 @@ A collection of classification metrics.
     }
     ```
 
-## `#!sds static fun` `accuracy` {#safeds.ml.metrics.ClassificationMetrics.accuracy data-toc-label='[static fun] accuracy'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `accuracy` {#safeds.ml.metrics.ClassificationMetrics.accuracy data-toc-label='[static-function] accuracy'}
 
 Compute the accuracy on the given data.
 
@@ -129,7 +129,7 @@ better. Results range from 0.0 to 1.0.
     ) -> accuracy: Float
     ```
 
-## `#!sds static fun` `f1Score` {#safeds.ml.metrics.ClassificationMetrics.f1Score data-toc-label='[static fun] f1Score'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `f1Score` {#safeds.ml.metrics.ClassificationMetrics.f1Score data-toc-label='[static-function] f1Score'}
 
 Compute the F₁ score on the given data.
 
@@ -162,7 +162,7 @@ classifier. Results range from 0.0 to 1.0.
     ) -> f1Score: Float
     ```
 
-## `#!sds static fun` `precision` {#safeds.ml.metrics.ClassificationMetrics.precision data-toc-label='[static fun] precision'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `precision` {#safeds.ml.metrics.ClassificationMetrics.precision data-toc-label='[static-function] precision'}
 
 Compute the precision on the given data.
 
@@ -194,7 +194,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> precision: Float
     ```
 
-## `#!sds static fun` `recall` {#safeds.ml.metrics.ClassificationMetrics.recall data-toc-label='[static fun] recall'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `recall` {#safeds.ml.metrics.ClassificationMetrics.recall data-toc-label='[static-function] recall'}
 
 Compute the recall on the given data.
 
@@ -226,7 +226,7 @@ better the classifier. Results range from 0.0 to 1.0.
     ) -> recall: Float
     ```
 
-## `#!sds static fun` `summarize` {#safeds.ml.metrics.ClassificationMetrics.summarize data-toc-label='[static fun] summarize'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `summarize` {#safeds.ml.metrics.ClassificationMetrics.summarize data-toc-label='[static-function] summarize'}
 
 Summarize classification metrics on the given data.
 
diff --git a/docs/api/safeds/ml/metrics/RegressionMetrics.md b/docs/api/safeds/ml/metrics/RegressionMetrics.md
index 098495ca6..f1dd1ff0a 100644
--- a/docs/api/safeds/ml/metrics/RegressionMetrics.md
+++ b/docs/api/safeds/ml/metrics/RegressionMetrics.md
@@ -1,4 +1,4 @@
-# `#!sds abstract class` `RegressionMetrics` {#safeds.ml.metrics.RegressionMetrics data-toc-label='[abstract class] RegressionMetrics'}
+# <code class="doc-symbol doc-symbol-class"></code> `RegressionMetrics` {#safeds.ml.metrics.RegressionMetrics data-toc-label='[class] RegressionMetrics'}
 
 A collection of regression metrics.
 
@@ -134,7 +134,7 @@ A collection of regression metrics.
     }
     ```
 
-## `#!sds static fun` `coefficientOfDetermination` {#safeds.ml.metrics.RegressionMetrics.coefficientOfDetermination data-toc-label='[static fun] coefficientOfDetermination'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `coefficientOfDetermination` {#safeds.ml.metrics.RegressionMetrics.coefficientOfDetermination data-toc-label='[static-function] coefficientOfDetermination'}
 
 Compute the coefficient of determination (R²) on the given data.
 
@@ -177,7 +177,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
     ) -> coefficientOfDetermination: Float
     ```
 
-## `#!sds static fun` `meanAbsoluteError` {#safeds.ml.metrics.RegressionMetrics.meanAbsoluteError data-toc-label='[static fun] meanAbsoluteError'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `meanAbsoluteError` {#safeds.ml.metrics.RegressionMetrics.meanAbsoluteError data-toc-label='[static-function] meanAbsoluteError'}
 
 Compute the mean absolute error (MAE) on the given data.
 
@@ -209,7 +209,7 @@ infinity.
     ) -> meanAbsoluteError: Float
     ```
 
-## `#!sds static fun` `meanDirectionalAccuracy` {#safeds.ml.metrics.RegressionMetrics.meanDirectionalAccuracy data-toc-label='[static fun] meanDirectionalAccuracy'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `meanDirectionalAccuracy` {#safeds.ml.metrics.RegressionMetrics.meanDirectionalAccuracy data-toc-label='[static-function] meanDirectionalAccuracy'}
 
 Compute the mean directional accuracy (MDA) on the given data.
 
@@ -245,7 +245,7 @@ for other types of data. Because of this, it is not included in the `summarize`
     ) -> meanDirectionalAccuracy: Float
     ```
 
-## `#!sds static fun` `meanSquaredError` {#safeds.ml.metrics.RegressionMetrics.meanSquaredError data-toc-label='[static fun] meanSquaredError'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `meanSquaredError` {#safeds.ml.metrics.RegressionMetrics.meanSquaredError data-toc-label='[static-function] meanSquaredError'}
 
 Compute the mean squared error (MSE) on the given data.
 
@@ -279,7 +279,7 @@ infinity.
     ) -> meanSquaredError: Float
     ```
 
-## `#!sds static fun` `medianAbsoluteDeviation` {#safeds.ml.metrics.RegressionMetrics.medianAbsoluteDeviation data-toc-label='[static fun] medianAbsoluteDeviation'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `medianAbsoluteDeviation` {#safeds.ml.metrics.RegressionMetrics.medianAbsoluteDeviation data-toc-label='[static-function] medianAbsoluteDeviation'}
 
 Compute the median absolute deviation (MAD) on the given data.
 
@@ -311,7 +311,7 @@ positive infinity.
     ) -> medianAbsoluteDeviation: Float
     ```
 
-## `#!sds static fun` `summarize` {#safeds.ml.metrics.RegressionMetrics.summarize data-toc-label='[static fun] summarize'}
+## <code class="doc-symbol doc-symbol-static-function"></code> `summarize` {#safeds.ml.metrics.RegressionMetrics.summarize data-toc-label='[static-function] summarize'}
 
 Summarize regression metrics on the given data.
 
diff --git a/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md b/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
index 3fe5e5b43..d6f8d3b4b 100644
--- a/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
+++ b/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `NeuralNetworkClassifier` {#safeds.ml.nn.NeuralNetworkClassifier data-toc-label='[class] NeuralNetworkClassifier'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `NeuralNetworkClassifier` {#safeds.ml.nn.NeuralNetworkClassifier data-toc-label='[class] NeuralNetworkClassifier'}
 
 A NeuralNetworkClassifier is a neural network that is used for classification tasks.
 
@@ -6,9 +6,9 @@ A NeuralNetworkClassifier is a neural network that is used for classification ta
 
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
-| `inputConversion` | `#!sds InputConversion<FitIn, PredictIn>` | to convert the input data for the neural network | - |
+| `inputConversion` | [`InputConversion<FitIn, PredictIn>`][safeds.ml.nn.converters.InputConversion] | to convert the input data for the neural network | - |
 | `layers` | [`List<Layer>`][safeds.lang.List] | a list of layers for the neural network to learn | - |
-| `outputConversion` | `#!sds OutputConversion<PredictIn, PredictOut>` | to convert the output data of the neural network back | - |
+| `outputConversion` | [`OutputConversion<PredictIn, PredictOut>`][safeds.ml.nn.converters.OutputConversion] | to convert the output data of the neural network back | - |
 
 **Type parameters:**
 
@@ -84,13 +84,13 @@ A NeuralNetworkClassifier is a neural network that is used for classification ta
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.nn.NeuralNetworkClassifier.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.nn.NeuralNetworkClassifier.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the classifier is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.ml.nn.NeuralNetworkClassifier.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.nn.NeuralNetworkClassifier.fit data-toc-label='[function] fit'}
 
 Train the neural network with given training data.
 
@@ -138,7 +138,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.nn.NeuralNetworkClassifier.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.nn.NeuralNetworkClassifier.predict data-toc-label='[function] predict'}
 
 Make a prediction for the given test data.
 
diff --git a/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md b/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
index 8781c2ed7..48d2da94a 100644
--- a/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
+++ b/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `NeuralNetworkRegressor` {#safeds.ml.nn.NeuralNetworkRegressor data-toc-label='[class] NeuralNetworkRegressor'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `NeuralNetworkRegressor` {#safeds.ml.nn.NeuralNetworkRegressor data-toc-label='[class] NeuralNetworkRegressor'}
 
 A NeuralNetworkRegressor is a neural network that is used for regression tasks.
 
@@ -6,9 +6,9 @@ A NeuralNetworkRegressor is a neural network that is used for regression tasks.
 
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
-| `inputConversion` | `#!sds InputConversion<FitIn, PredictIn>` | to convert the input data for the neural network | - |
+| `inputConversion` | [`InputConversion<FitIn, PredictIn>`][safeds.ml.nn.converters.InputConversion] | to convert the input data for the neural network | - |
 | `layers` | [`List<Layer>`][safeds.lang.List] | a list of layers for the neural network to learn | - |
-| `outputConversion` | `#!sds OutputConversion<PredictIn, PredictOut>` | to convert the output data of the neural network back | - |
+| `outputConversion` | [`OutputConversion<PredictIn, PredictOut>`][safeds.ml.nn.converters.OutputConversion] | to convert the output data of the neural network back | - |
 
 **Type parameters:**
 
@@ -84,13 +84,13 @@ A NeuralNetworkRegressor is a neural network that is used for regression tasks.
     }
     ```
 
-## `#!sds attr` `isFitted` {#safeds.ml.nn.NeuralNetworkRegressor.isFitted data-toc-label='[attr] isFitted'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `isFitted` {#safeds.ml.nn.NeuralNetworkRegressor.isFitted data-toc-label='[attribute] isFitted'}
 
 Whether the regressor is fitted.
 
 **Type:** [`Boolean`][safeds.lang.Boolean]
 
-## `#!sds fun` `fit` {#safeds.ml.nn.NeuralNetworkRegressor.fit data-toc-label='[fun] fit'}
+## <code class="doc-symbol doc-symbol-function"></code> `fit` {#safeds.ml.nn.NeuralNetworkRegressor.fit data-toc-label='[function] fit'}
 
 Train the neural network with given training data.
 
@@ -138,7 +138,7 @@ pipeline example {
     }
     ```
 
-## `#!sds fun` `predict` {#safeds.ml.nn.NeuralNetworkRegressor.predict data-toc-label='[fun] predict'}
+## <code class="doc-symbol doc-symbol-function"></code> `predict` {#safeds.ml.nn.NeuralNetworkRegressor.predict data-toc-label='[function] predict'}
 
 Make a prediction for the given test data.
 
diff --git a/docs/api/safeds/ml/nn/converters/InputConversion.md b/docs/api/safeds/ml/nn/converters/InputConversion.md
index 9c604be2e..b52dc929b 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversion.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversion.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# :test_tube:{ title="Experimental" } `#!sds abstract class` `InputConversion` {#safeds.ml.nn.converters.InputConversion data-toc-label='[abstract class] InputConversion'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `InputConversion` {#safeds.ml.nn.converters.InputConversion data-toc-label='[class] InputConversion'}
 
 The input conversion for a neural network, defines the input parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionImage.md b/docs/api/safeds/ml/nn/converters/InputConversionImage.md
index ab3bac96c..004a7f207 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionImage.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionImage.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `InputConversionImage` {#safeds.ml.nn.converters.InputConversionImage data-toc-label='[class] InputConversionImage'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `InputConversionImage` {#safeds.ml.nn.converters.InputConversionImage data-toc-label='[class] InputConversionImage'}
 
 The input conversion for a neural network, defines the input parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionTable.md b/docs/api/safeds/ml/nn/converters/InputConversionTable.md
index 41fbdc9f3..24668f830 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionTable.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `InputConversionTable` {#safeds.ml.nn.converters.InputConversionTable data-toc-label='[class] InputConversionTable'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `InputConversionTable` {#safeds.ml.nn.converters.InputConversionTable data-toc-label='[class] InputConversionTable'}
 
 The input conversion for a neural network defines the input parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md b/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
index fe9f26fa7..f24d61980 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `InputConversionTimeSeries` {#safeds.ml.nn.converters.InputConversionTimeSeries data-toc-label='[class] InputConversionTimeSeries'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `InputConversionTimeSeries` {#safeds.ml.nn.converters.InputConversionTimeSeries data-toc-label='[class] InputConversionTimeSeries'}
 
 The input conversion for a neural network, defines the input parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversion.md b/docs/api/safeds/ml/nn/converters/OutputConversion.md
index 62ed9f47e..9227433d6 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversion.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversion.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# :test_tube:{ title="Experimental" } `#!sds abstract class` `OutputConversion` {#safeds.ml.nn.converters.OutputConversion data-toc-label='[abstract class] OutputConversion'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversion` {#safeds.ml.nn.converters.OutputConversion data-toc-label='[class] OutputConversion'}
 
 The output conversion for a neural network, defines the output parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
index cd1e190f5..591fc8eb4 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `OutputConversionImageToColumn` {#safeds.ml.nn.converters.OutputConversionImageToColumn data-toc-label='[class] OutputConversionImageToColumn'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversionImageToColumn` {#safeds.ml.nn.converters.OutputConversionImageToColumn data-toc-label='[class] OutputConversionImageToColumn'}
 
 **Parent type:** [`OutputConversion<Image, Column<Any?>>`][safeds.ml.nn.converters.OutputConversion]
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
index 70efa7e88..283b0d74e 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `OutputConversionImageToImage` {#safeds.ml.nn.converters.OutputConversionImageToImage data-toc-label='[class] OutputConversionImageToImage'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversionImageToImage` {#safeds.ml.nn.converters.OutputConversionImageToImage data-toc-label='[class] OutputConversionImageToImage'}
 
 **Parent type:** [`OutputConversion<Image, Image>`][safeds.ml.nn.converters.OutputConversion]
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
index 773d50013..38b85f0f8 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `OutputConversionImageToTable` {#safeds.ml.nn.converters.OutputConversionImageToTable data-toc-label='[class] OutputConversionImageToTable'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversionImageToTable` {#safeds.ml.nn.converters.OutputConversionImageToTable data-toc-label='[class] OutputConversionImageToTable'}
 
 **Parent type:** [`OutputConversion<Image, Table>`][safeds.ml.nn.converters.OutputConversion]
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionTable.md b/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
index 5b70c43a8..66b277fa6 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `OutputConversionTable` {#safeds.ml.nn.converters.OutputConversionTable data-toc-label='[class] OutputConversionTable'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversionTable` {#safeds.ml.nn.converters.OutputConversionTable data-toc-label='[class] OutputConversionTable'}
 
 The output conversion for a neural network defines the output parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md b/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
index 9a144d969..4a9374058 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `OutputConversionTimeSeries` {#safeds.ml.nn.converters.OutputConversionTimeSeries data-toc-label='[class] OutputConversionTimeSeries'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `OutputConversionTimeSeries` {#safeds.ml.nn.converters.OutputConversionTimeSeries data-toc-label='[class] OutputConversionTimeSeries'}
 
 The output conversion for a neural network, defines the output parameters for the neural network.
 
diff --git a/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md b/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
index b7b8d79aa..1a60cb1d4 100644
--- a/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `AveragePooling2DLayer` {#safeds.ml.nn.layers.AveragePooling2DLayer data-toc-label='[class] AveragePooling2DLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `AveragePooling2DLayer` {#safeds.ml.nn.layers.AveragePooling2DLayer data-toc-label='[class] AveragePooling2DLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -29,13 +29,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md b/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
index eb9ed48bf..376391e2b 100644
--- a/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `Convolutional2DLayer` {#safeds.ml.nn.layers.Convolutional2DLayer data-toc-label='[class] Convolutional2DLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `Convolutional2DLayer` {#safeds.ml.nn.layers.Convolutional2DLayer data-toc-label='[class] Convolutional2DLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -35,13 +35,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md b/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
index 15a4edd1f..57d89cc46 100644
--- a/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `ConvolutionalTranspose2DLayer` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer data-toc-label='[class] ConvolutionalTranspose2DLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `ConvolutionalTranspose2DLayer` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer data-toc-label='[class] ConvolutionalTranspose2DLayer'}
 
 **Parent type:** [`Convolutional2DLayer`][safeds.ml.nn.layers.Convolutional2DLayer]
 
@@ -24,13 +24,13 @@
     ) sub Convolutional2DLayer
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/FlattenLayer.md b/docs/api/safeds/ml/nn/layers/FlattenLayer.md
index cbdf11ff6..1ba7deb73 100644
--- a/docs/api/safeds/ml/nn/layers/FlattenLayer.md
+++ b/docs/api/safeds/ml/nn/layers/FlattenLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `FlattenLayer` {#safeds.ml.nn.layers.FlattenLayer data-toc-label='[class] FlattenLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `FlattenLayer` {#safeds.ml.nn.layers.FlattenLayer data-toc-label='[class] FlattenLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -17,13 +17,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.FlattenLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.FlattenLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.FlattenLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.FlattenLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/ForwardLayer.md b/docs/api/safeds/ml/nn/layers/ForwardLayer.md
index fd714b5ae..aca87c32e 100644
--- a/docs/api/safeds/ml/nn/layers/ForwardLayer.md
+++ b/docs/api/safeds/ml/nn/layers/ForwardLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `ForwardLayer` {#safeds.ml.nn.layers.ForwardLayer data-toc-label='[class] ForwardLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `ForwardLayer` {#safeds.ml.nn.layers.ForwardLayer data-toc-label='[class] ForwardLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -27,13 +27,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.ForwardLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.ForwardLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.ForwardLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.ForwardLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/LSTMLayer.md b/docs/api/safeds/ml/nn/layers/LSTMLayer.md
index 845c61d6b..33abe035c 100644
--- a/docs/api/safeds/ml/nn/layers/LSTMLayer.md
+++ b/docs/api/safeds/ml/nn/layers/LSTMLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `LSTMLayer` {#safeds.ml.nn.layers.LSTMLayer data-toc-label='[class] LSTMLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `LSTMLayer` {#safeds.ml.nn.layers.LSTMLayer data-toc-label='[class] LSTMLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -27,13 +27,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.LSTMLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.LSTMLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`Int`][safeds.lang.Int]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.LSTMLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.LSTMLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/api/safeds/ml/nn/layers/Layer.md b/docs/api/safeds/ml/nn/layers/Layer.md
index 4d1849dfe..d15c981f4 100644
--- a/docs/api/safeds/ml/nn/layers/Layer.md
+++ b/docs/api/safeds/ml/nn/layers/Layer.md
@@ -3,7 +3,7 @@ search:
   boost: 0.5
 ---
 
-# :test_tube:{ title="Experimental" } `#!sds abstract class` `Layer` {#safeds.ml.nn.layers.Layer data-toc-label='[abstract class] Layer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `Layer` {#safeds.ml.nn.layers.Layer data-toc-label='[class] Layer'}
 
 **Inheritors:**
 
diff --git a/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md b/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
index de8e40736..2a1427051 100644
--- a/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` `MaxPooling2DLayer` {#safeds.ml.nn.layers.MaxPooling2DLayer data-toc-label='[class] MaxPooling2DLayer'}
+# :test_tube:{ title="Experimental" } <code class="doc-symbol doc-symbol-class"></code> `MaxPooling2DLayer` {#safeds.ml.nn.layers.MaxPooling2DLayer data-toc-label='[class] MaxPooling2DLayer'}
 
 **Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
 
@@ -29,13 +29,13 @@
     }
     ```
 
-## `#!sds attr` `inputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.inputSize data-toc-label='[attr] inputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `inputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.inputSize data-toc-label='[attribute] inputSize'}
 
 Get the input_size of this layer.
 
 **Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
 
-## `#!sds attr` `outputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.outputSize data-toc-label='[attr] outputSize'}
+## <code class="doc-symbol doc-symbol-attribute"></code> `outputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.outputSize data-toc-label='[attribute] outputSize'}
 
 Get the output_size of this layer.
 
diff --git a/docs/src/overrides/partials/toc-item.html b/docs/src/overrides/partials/toc-item.html
index d71086926..da0396269 100644
--- a/docs/src/overrides/partials/toc-item.html
+++ b/docs/src/overrides/partials/toc-item.html
@@ -2,18 +2,20 @@
 <li class="md-nav__item">
     <a href="{{ toc_item.url }}" class="md-nav__link">
         <span class="md-ellipsis">
-            {% if toc_item.title.startswith("[attr] ") %}
-                <code class="doc-symbol doc-symbol-attribute"></code>&nbsp;{{ toc_item.title | replace("[attr] ", "") }}
-            {% elif toc_item.title.startswith("[static attr] ") %}
-                <code class="doc-symbol doc-symbol-static-attribute"></code>&nbsp;{{ toc_item.title | replace("[static attr] ", "") }}
+            {% if toc_item.title.startswith("[attribute] ") %}
+                <code class="doc-symbol doc-symbol-attribute"></code>&nbsp;{{ toc_item.title | replace("[attribute] ", "") }}
+            {% elif toc_item.title.startswith("[static-attribute] ") %}
+                <code class="doc-symbol doc-symbol-static-attribute"></code>&nbsp;{{ toc_item.title | replace("[static-attribute] ", "") }}
             {% elif toc_item.title.startswith("[class] ") %}
                 <code class="doc-symbol doc-symbol-class"></code>&nbsp;{{ toc_item.title | replace("[class] ", "") }}
             {% elif toc_item.title.startswith("[enum] ") %}
                 <code class="doc-symbol doc-symbol-enum"></code>&nbsp;{{ toc_item.title | replace("[enum] ", "") }}
-            {% elif toc_item.title.startswith("[fun] ") %}
-                <code class="doc-symbol doc-symbol-function"></code>&nbsp;{{ toc_item.title | replace("[fun] ", "") }}
-            {% elif toc_item.title.startswith("[static fun] ") %}
-                <code class="doc-symbol doc-symbol-static-function"></code>&nbsp;{{ toc_item.title | replace("[static fun] ", "") }}
+            {% elif toc_item.title.startswith("[variant] ") %}
+                <code class="doc-symbol doc-symbol-variant"></code>&nbsp;{{ toc_item.title | replace("[variant] ", "") }}
+            {% elif toc_item.title.startswith("[function] ") %}
+                <code class="doc-symbol doc-symbol-function"></code>&nbsp;{{ toc_item.title | replace("[function] ", "") }}
+            {% elif toc_item.title.startswith("[static-function] ") %}
+                <code class="doc-symbol doc-symbol-static-function"></code>&nbsp;{{ toc_item.title | replace("[static-function] ", "") }}
             {% else %}
                 {{ toc_item.title }}
             {% endif %}
diff --git a/docs/src/stylesheets/extra.css b/docs/src/stylesheets/extra.css
index d752ab06d..8b461de96 100644
--- a/docs/src/stylesheets/extra.css
+++ b/docs/src/stylesheets/extra.css
@@ -14,27 +14,43 @@
 
 :root,
 [data-md-color-scheme="default"] {
+    --doc-symbol-annotation-fg-color: #95002d;
     --doc-symbol-attribute-fg-color: #953800;
     --doc-symbol-class-fg-color: #0550ae;
     --doc-symbol-enum-fg-color: #5cad0f;
+    --doc-symbol-variant-fg-color: #5cad0f;
     --doc-symbol-function-fg-color: #8250df;
+    --doc-symbol-segment-fg-color: #8250df;
+    --doc-symbol-schema-fg-color: #3ead9d;
 
+    --doc-symbol-annotation-bg-color: #95002d1a;
     --doc-symbol-attribute-bg-color: #9538001a;
     --doc-symbol-class-bg-color: #0550ae1a;
     --doc-symbol-enum-bg-color: #5cad0f1a;
+    --doc-symbol-variant-bg-color: #5cad0f1a;
     --doc-symbol-function-bg-color: #8250df1a;
+    --doc-symbol-segment-bg-color: #8250df1a;
+    --doc-symbol-schema-bg-color: #3ead9d1a;
 }
 
 [data-md-color-scheme="slate"] {
+    --doc-symbol-annotation-fg-color: #ff004d;
     --doc-symbol-attribute-fg-color: #ffa657;
     --doc-symbol-class-fg-color: #79c0ff;
     --doc-symbol-enum-fg-color: #baff79;
+    --doc-symbol-variant-fg-color: #baff79;
     --doc-symbol-function-fg-color: #d2a8ff;
+    --doc-symbol-segment-fg-color: #d2a8ff;
+    --doc-symbol-schema-fg-color: #5cffe7;
 
+    --doc-symbol-annotation-bg-color: #ff004d1a;
     --doc-symbol-attribute-bg-color: #ffa6571a;
     --doc-symbol-class-bg-color: #79c0ff1a;
     --doc-symbol-enum-bg-color: #baff791a;
+    --doc-symbol-variant-bg-color: #baff791a;
     --doc-symbol-function-bg-color: #d2a8ff1a;
+    --doc-symbol-segment-bg-color: #d2a8ff1a;
+    --doc-symbol-schema-bg-color: #5cffe71a;
 }
 
 code.doc-symbol {
@@ -44,6 +60,15 @@ code.doc-symbol {
     font-weight: bold;
 }
 
+code.doc-symbol-annotation {
+    color: var(--doc-symbol-annotation-fg-color);
+    background-color: var(--doc-symbol-annotation-bg-color);
+}
+
+code.doc-symbol-annotation::after {
+    content: "annotation";
+}
+
 code.doc-symbol-attribute,
 code.doc-symbol-static-attribute {
     color: var(--doc-symbol-attribute-fg-color);
@@ -55,7 +80,7 @@ code.doc-symbol-attribute::after {
 }
 
 code.doc-symbol-static-attribute::after {
-    content: "static attr";
+    content: "static\00a0 attr";
 }
 
 code.doc-symbol-class {
@@ -76,6 +101,15 @@ code.doc-symbol-enum::after {
     content: "enum";
 }
 
+code.doc-symbol-variant {
+    color: var(--doc-symbol-variant-fg-color);
+    background-color: var(--doc-symbol-variant-bg-color);
+}
+
+code.doc-symbol-variant::after {
+    content: "variant";
+}
+
 code.doc-symbol-function,
 code.doc-symbol-static-function {
     color: var(--doc-symbol-function-fg-color);
@@ -87,5 +121,23 @@ code.doc-symbol-function::after {
 }
 
 code.doc-symbol-static-function::after {
-    content: "static fun";
+    content: "static\00a0 fun";
+}
+
+code.doc-symbol-segment {
+    color: var(--doc-symbol-segment-fg-color);
+    background-color: var(--doc-symbol-segment-bg-color);
+}
+
+code.doc-symbol-segment::after {
+    content: "segment";
+}
+
+code.doc-symbol-schema {
+    color: var(--doc-symbol-schema-fg-color);
+    background-color: var(--doc-symbol-schema-bg-color);
+}
+
+code.doc-symbol-schema::after {
+    content: "schema";
 }
diff --git a/packages/safe-ds-lang/src/language/generation/safe-ds-markdown-generator.ts b/packages/safe-ds-lang/src/language/generation/safe-ds-markdown-generator.ts
index 5dce647c3..8082a906c 100644
--- a/packages/safe-ds-lang/src/language/generation/safe-ds-markdown-generator.ts
+++ b/packages/safe-ds-lang/src/language/generation/safe-ds-markdown-generator.ts
@@ -38,7 +38,6 @@ import {
     getQualifiedName,
     getResults,
     getTypeParameters,
-    isInternal,
     isPrivate,
     isStatic,
 } from '../helpers/nodeProperties.js';
@@ -205,8 +204,8 @@ export class SafeDsMarkdownGenerator {
     }
 
     private describeAttribute(node: SdsAttribute, state: DetailsState): string {
-        const keyword = isStatic(node) ? 'static attr' : 'attr';
-        let result = this.renderPreamble(node, state, 'attribute', keyword);
+        const tag = isStatic(node) ? 'static-attribute' : 'attribute';
+        let result = this.renderPreamble(node, state, tag);
 
         // Type
         const type = this.typeComputer.computeType(node.type);
@@ -222,8 +221,7 @@ export class SafeDsMarkdownGenerator {
     }
 
     private describeClass(node: SdsClass, state: DetailsState): string {
-        const keyword = node.parameterList ? 'class' : 'abstract class';
-        let result = this.renderPreamble(node, state, 'class', keyword);
+        let result = this.renderPreamble(node, state, 'class');
 
         // Parent type
         const parentTypes = getParentTypes(node);
@@ -375,7 +373,7 @@ export class SafeDsMarkdownGenerator {
     }
 
     private describeEnumVariant(node: SdsEnumVariant, state: DetailsState): string {
-        let result = this.renderPreamble(node, state, 'enum variant', '');
+        let result = this.renderPreamble(node, state, 'variant');
 
         // Parameters
         const parameters = this.renderParameters(getParameters(node), state.knownPaths);
@@ -393,8 +391,8 @@ export class SafeDsMarkdownGenerator {
     }
 
     private describeFunction(node: SdsFunction, state: DetailsState): string {
-        const keyword = isStatic(node) ? 'static fun' : 'fun';
-        let result = this.renderPreamble(node, state, 'function', keyword);
+        const tag = isStatic(node) ? 'static-function' : 'function';
+        let result = this.renderPreamble(node, state, tag);
 
         // Parameters
         const parameters = this.renderParameters(getParameters(node), state.knownPaths);
@@ -463,8 +461,7 @@ export class SafeDsMarkdownGenerator {
     }
 
     private describeSegment(node: SdsSegment, state: DetailsState): string {
-        const keyword = isInternal(node) ? 'internal segment' : 'segment';
-        let result = this.renderPreamble(node, state, 'segment', keyword);
+        let result = this.renderPreamble(node, state, 'segment');
 
         // Parameters
         const parameters = this.renderParameters(getParameters(node), state.knownPaths);
@@ -493,12 +490,12 @@ export class SafeDsMarkdownGenerator {
         return result;
     }
 
-    private renderPreamble(node: SdsDeclaration, state: DetailsState, kind: string, keyword: string = kind): string {
+    private renderPreamble(node: SdsDeclaration, state: DetailsState, tag?: Tag): string {
         let result = this.renderFrontMatter(node);
 
-        result += this.renderHeading(node, state, keyword) + '\n';
+        result += this.renderHeading(node, state, tag) + '\n';
 
-        const deprecationWarning = this.renderDeprecationWarning(node, kind);
+        const deprecationWarning = this.renderDeprecationWarning(node);
         if (deprecationWarning) {
             result += `\n${deprecationWarning}\n`;
         }
@@ -518,22 +515,22 @@ export class SafeDsMarkdownGenerator {
         return '';
     }
 
-    private renderHeading(node: SdsDeclaration, state: DetailsState, keyword: string): string {
+    private renderHeading(node: SdsDeclaration, state: DetailsState, tag?: Tag): string {
         let result = '#'.repeat(Math.min(state.level, 6));
         result += this.renderMaturity(node);
 
-        if (keyword) {
-            result += ` \`#!sds ${keyword}\``;
+        if (tag) {
+            result += ` <code class="doc-symbol doc-symbol-${tag}"></code>`;
         }
 
         result += ` \`${node.name}\``;
-        result += ` {#${this.getId(node, state)} data-toc-label='${this.createTocLabel(node, keyword)}'}`;
+        result += ` {#${this.getId(node, state)} data-toc-label='${this.createTocLabel(node, tag)}'}`;
         return result;
     }
 
-    private createTocLabel(node: SdsDeclaration, keyword: string): string {
-        if (keyword) {
-            return `[${keyword}] ${node.name}`;
+    private createTocLabel(node: SdsDeclaration, tag?: Tag): string {
+        if (tag) {
+            return `[${tag}] ${node.name}`;
         } else {
             return node.name;
         }
@@ -557,14 +554,14 @@ export class SafeDsMarkdownGenerator {
         }
     }
 
-    private renderDeprecationWarning(node: SdsDeclaration, keyword: string): string {
+    private renderDeprecationWarning(node: SdsDeclaration): string {
         const deprecationInfo = this.builtinAnnotations.getDeprecationInfo(node);
         if (!deprecationInfo) {
             return '';
         }
 
         let result = '!!! warning "Deprecated"\n\n';
-        result += `    This ${keyword} is deprecated`;
+        result += `    This declaration is deprecated`;
 
         if (deprecationInfo.sinceVersion) {
             result += ` since version **${deprecationInfo.sinceVersion}**`;
@@ -839,3 +836,15 @@ interface Summary {
 const indent = (text: string): string => {
     return addLinePrefix(text, INDENTATION);
 };
+
+type Tag =
+    | 'annotation'
+    | 'attribute'
+    | 'static-attribute'
+    | 'class'
+    | 'enum'
+    | 'function'
+    | 'static-function'
+    | 'schema'
+    | 'segment'
+    | 'variant';