Merge pull request #869 from alan-turing-institute/add_tutorial_pr

Add tutorial on adding emulators suggestions

Author: radka-j

docs/tutorials/advanced/01_add_emulators.ipynb

@@ -112,15 +112,15 @@
    "source": [
     "## 2. Adding new models\n",
     "\n",
-    "It is also possible to add entirely new models to AutoEmulate. AutoEmulate has a base `Emulator` class that handles most of the general functionality required for training and prediction. To implement a new emulator, one must simply subclass `Emulator` and implement two abstract methods: `_fit` and `_predict` as well any model specific functionality and initialisations.\n",
+    "It is also possible to add entirely new models to AutoEmulate. AutoEmulate has a base `Emulator` class that handles most of the general functionality required for training and prediction. To implement a new emulator, one must simply subclass `Emulator` and implement the abstract methods (`_fit`, `_predict` and `is_multioutput`), `get_tune_params` to enable model tuning, as well any model specific functionality and initialisations.\n",
     "\n",
     "Since AutoEmulate supports a variety of models, there are additional `Emulator` subclasses that handle specific functionality for each model type:\n",
     "- `PytorchBackend` for PyTorch models\n",
     "- `SklearnBackend` for scikit-learn models\n",
-    "- `GaussianProcessExact` for exact Gaussian Process implementations\n",
+    "- `GaussianProcess` for exact Gaussian Process implementations\n",
     "- `Ensemble` for ensemble models\n",
     "\n",
-    "Subclassing one of these directly has slightly different requirements. For example, when subclassing `PytorchBackend` or `GaussianProcessExact`, one must implement the `forward` method to define the model's forward pass. \n",
+    "Subclassing one of these directly has slightly different requirements. For example, when subclassing `PytorchBackend` or `GaussianProcess`, one must implement the `forward` method to define the model's forward pass.\n",
     "\n",
     "There are also some static methods that should be implemented to provide metadata about the model, such as `is_multioutput` and `get_tune_params`.\n",
     "\n",
@@ -197,7 +197,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "autoemulate",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -211,7 +211,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.11"
   }
  },
  "nbformat": 4,