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Set kernel of SupportVectorMachine
#172
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jxnior01
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Jun 10, 2023
Closes #172. A new parameter kernel: SupportVectorMachineKernel was added to the initializer of SupportVectorMachine classes of both the classifier and the regressor alongside getters for the parameters. It was later passed as the kernel of the wrapped scikit-learn model in the fit method. The SupportVectorMachineKernel was created as an abstract base class from which the signatures of the methods in the nested subclasses of Kernel were the same. Tests were adjusted to test the functionality of the kernel parameter.
lars-reimann
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Jun 30, 2023
## [0.14.0](v0.13.0...v0.14.0) (2023-06-30) ### Features * 290 properties for width-height of image ([#359](#359)) ([d9ebdc1](d9ebdc1)), closes [#290](#290) * Add `find_edges` method to `Image` class ([#383](#383)) ([d14b6ce](d14b6ce)), closes [#288](#288) * Add `StandardScaler` transformer ([#316](#316)) ([57b0572](57b0572)), closes [#142](#142) * Add docstrings to the getter methods for hyperparameters in Regression and Classification models ([#371](#371)) ([9073f04](9073f04)), closes [#313](#313) * Added `Table.group_by` to group a table by a given key ([#343](#343)) ([afb98be](afb98be)), closes [#160](#160) * Added and improved errors and warnings in the table transformers ([#372](#372)) ([544e307](544e307)), closes [#152](#152) * added crop() method in image and tests ([#365](#365)) ([eba8163](eba8163)) * added invert_colors method ([#367](#367)) ([1e4d110](1e4d110)) * adjust brightness and contrast of image ([#368](#368)) ([1752feb](1752feb)), closes [#289](#289) [#291](#291) * blur Image method ([#363](#363)) ([c642176](c642176)) * check that methods of table can handle an empty table ([#314](#314)) ([686c2e7](686c2e7)), closes [#123](#123) * convert image to grayscale ([#366](#366)) ([1312fe7](1312fe7)), closes [#287](#287) * enhance `replace_column` to accept a list of new columns ([#312](#312)) ([d50c5b5](d50c5b5)), closes [#301](#301) * Explicitly throw `UnknownColumnNameError` in `TaggedTable._from_table` ([#334](#334)) ([498999f](498999f)), closes [#333](#333) * flip images / eq method for image ([#360](#360)) ([54f4ae1](54f4ae1)), closes [#280](#280) * improve `table.summary`. Catch `ValueError` thrown by `column.stability` ([#390](#390)) ([dbbe0e3](dbbe0e3)), closes [#320](#320) * improve error handling of `column.stability` when given a column that contains only None ([#388](#388)) ([1da2499](1da2499)), closes [#319](#319) * Improve Error Handling of classifiers and regressors ([#355](#355)) ([66f5f64](66f5f64)), closes [#153](#153) * Resize image ([#354](#354)) ([3a971ca](3a971ca)), closes [#283](#283) * rotate_left and rotate_right added to Image ([#361](#361)) ([c877530](c877530)), closes [#281](#281) * set kernel of support vector machine ([#350](#350)) ([1326f40](1326f40)), closes [#172](#172) * sharpen image ([#364](#364)) ([3444700](3444700)), closes [#286](#286) ### Bug Fixes * Keeping no columns with Table.keep_only_columns results in an empty Table with a row count above 0 ([#386](#386)) ([15dab06](15dab06)), closes [#318](#318) * remove default value of `positive_class` parameter of classifier metrics ([#382](#382)) ([58fc09e](58fc09e)) * remove default value of `radius` parameter of `blur` ([#378](#378)) ([7f07f29](7f07f29))
🎉 This issue has been resolved in version 0.14.0 🎉 The release is available on:
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Labels
enhancement 💡
New feature or request
released
Included in a release
testing 🧪
Additional automated tests
Is your feature request related to a problem?
It's not possible to set the kernel of a
SupportVectorMachine
.Desired solution
kernel: SupportVectorMachineKernel
to the initializer ofsafeds.ml.classification.SupportVectorMachine
andsafeds.ml.regression.SupportVectorMachine
kernel
of the wrappedscikit-learn
model in thefit
methodThe implementation of
SupportVectorMachineKernel
should be similar to theImputerStrategy
:SupportVectorMachineKernel
should be an abstract base classKernel
should be nested intoSupportVectorMachine
Kernel
Linear
Polynomial
(with adegree: int
parameter)degree
< 1Sigmoid
RadialBasisFunction
Also add a getter as described in #260.
Possible alternatives (optional)
No response
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No response
Additional Context (optional)
We need to add the support vector machine first (#154).
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