Merge pull request #290 from alan-turing-institute/docs-fixes

Docs fixes
alan-turing-institute · Jan 31, 2025 · 7a4dc72 · 7a4dc72
2 parents 66c7fa6 + 73cb65f
commit 7a4dc72
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diff --git a/docs/getting-started/quickstart.ipynb b/docs/getting-started/quickstart.ipynb
@@ -1050,9 +1050,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# save & load best model\n",
-    "# ae.save(best_emulator, \"best_model\")\n",
-    "# best_emulator = ae.load(\"best_model\")"
+    "# save & load best emulator\n",
+    "# ae.save(gp_final, \"gp_final\")\n",
+    "# emulator = ae.load(\"gp_final\")"
    ]
   }
  ],

diff --git a/docs/tutorials/01_start.ipynb b/docs/tutorials/01_start.ipynb
@@ -1592,7 +1592,7 @@
     "`AutoEmulate` standardises inputs by default (`scale=True`) to have zero mean and unit variance. It uses `scaler=StandardScaler()` but [other normalisers](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.preprocessing) can be used, or the inputs can be left unscaled (`scale=False`). In addition, some models, like Gaussian Processes also standardise outputs, which makes them work better. Checking the parameters of a model with `model.get_params()` will show whether the model standardises outputs.\n",
     "\n",
     "### Dimension reduction\n",
-    "When there are lots of input variables, it can be useful to reduce the dimensionality. To do this, we can add a dimension reduction step to each model using `reduce_dim=True`. Be default, this uses PCA from scikit-learn, but [other dimension reduction methods](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.decomposition) can be used."
+    "When there are lots of input variables, it can be useful to reduce the dimensionality. To do this, we can add a dimension reduction step to each model using `reduce_dim=True`. By default, this uses PCA from scikit-learn, but [other dimension reduction methods](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.decomposition) can be used."
    ]
   },
   {

diff --git a/docs/tutorials/02_speed.ipynb b/docs/tutorials/02_speed.ipynb
@@ -154,7 +154,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "87557f74fe6c4e46b17065237f9a6397",
+       "model_id": "acc01531f97f4210ad51022bc2181a4b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -169,7 +169,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time taken: 33.17510414123535 seconds\n"
+      "Time taken: 33.06326484680176 seconds\n"
      ]
     }
    ],