Update add_emulators tutorial with register

Author: sgreenbury

docs/tutorials/advanced/01_add_emulators.ipynb

@@ -67,6 +67,8 @@
     "   GaussianProcess, \n",
     "   # the custom kernel function goes here\n",
     "   covar_module_fn=rbs_plus_linear_kernel,\n",
+    "   auto_register=True,\n",
+    "   overwrite=True,\n",
     ")"
    ]
   },
@@ -136,8 +138,10 @@
    "source": [
     "from autoemulate.core.device import TorchDeviceMixin\n",
     "from autoemulate.emulators.base import PyTorchBackend\n",
+    "from autoemulate.emulators import register\n",
     "import torch.nn as nn\n",
     "\n",
+    "@register(overwrite=True) # decorate to register the emulator, optionally overwrite existing registration\n",
     "class SimpleFNN(PyTorchBackend):\n",
     "    def __init__(\n",
     "        self, \n",
@@ -193,6 +197,25 @@
    "source": [
     "ae.summarise()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12",
+   "metadata": {},
+   "source": [
+    "The emulator can also be reinitialized and fitted on a dataset having been registered with AutoEmulate using the `@register` decorator."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "em = ae.fit_from_reinitialized(x, y)\n",
+    "print(em.model)"
+   ]
   }
  ],
  "metadata": {
@@ -211,7 +234,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,