docs examples updated

lbl-camera · Dec 8, 2023 · fd123c9 · fd123c9
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diff --git a/docs/source/examples/MultiTaskTest.ipynb b/docs/source/examples/MultiTaskTest.ipynb
diff --git a/docs/source/examples/NonEuclideanInputSpaces.ipynb b/docs/source/examples/NonEuclideanInputSpaces.ipynb
@@ -13,30 +13,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "id": "61c3f3bd",
    "metadata": {},
    "outputs": [],
    "source": [
     "#install the newest version of fvgp\n",
-    "#!pip install fvgp==4.0.11"
+    "#!pip install fvgp==4.0.13"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "id": "b5399565",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
@@ -48,50 +39,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "id": "b91e69d3",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "differential_evolution step 1: f(x)= 9.91727\n",
-      "differential_evolution step 2: f(x)= 9.06802\n",
-      "differential_evolution step 3: f(x)= 9.06802\n",
-      "differential_evolution step 4: f(x)= 9.06802\n",
-      "differential_evolution step 5: f(x)= 8.4285\n",
-      "differential_evolution step 6: f(x)= 8.05457\n",
-      "differential_evolution step 7: f(x)= 8.05457\n",
-      "differential_evolution step 8: f(x)= 8.05457\n",
-      "differential_evolution step 9: f(x)= 8.05457\n",
-      "differential_evolution step 10: f(x)= 8.05457\n",
-      "differential_evolution step 11: f(x)= 8.05457\n",
-      "differential_evolution step 12: f(x)= 8.05457\n",
-      "differential_evolution step 13: f(x)= 8.05457\n",
-      "differential_evolution step 14: f(x)= 8.05457\n",
-      "differential_evolution step 15: f(x)= 8.05171\n",
-      "differential_evolution step 16: f(x)= 8.05171\n",
-      "differential_evolution step 17: f(x)= 8.04794\n",
-      "differential_evolution step 18: f(x)= 8.04555\n",
+      "differential_evolution step 1: f(x)= 9.45943\n",
+      "differential_evolution step 2: f(x)= 9.04232\n",
+      "differential_evolution step 3: f(x)= 8.52913\n",
+      "differential_evolution step 4: f(x)= 8.20242\n",
+      "differential_evolution step 5: f(x)= 8.06388\n",
+      "differential_evolution step 6: f(x)= 8.05498\n",
+      "differential_evolution step 7: f(x)= 8.05063\n",
+      "differential_evolution step 8: f(x)= 8.05063\n",
+      "differential_evolution step 9: f(x)= 8.05063\n",
+      "differential_evolution step 10: f(x)= 8.04662\n",
+      "differential_evolution step 11: f(x)= 8.04662\n",
+      "differential_evolution step 12: f(x)= 8.04496\n",
+      "differential_evolution step 13: f(x)= 8.04496\n",
+      "differential_evolution step 14: f(x)= 8.04496\n",
+      "differential_evolution step 15: f(x)= 8.04491\n",
+      "differential_evolution step 16: f(x)= 8.04491\n",
+      "differential_evolution step 17: f(x)= 8.04489\n",
+      "differential_evolution step 18: f(x)= 8.04489\n",
       "differential_evolution step 19: f(x)= 8.04489\n",
-      "differential_evolution step 20: f(x)= 8.04489\n",
-      "differential_evolution step 21: f(x)= 8.04489\n",
-      "differential_evolution step 22: f(x)= 8.04489\n",
-      "differential_evolution step 23: f(x)= 8.04489\n",
-      "differential_evolution step 24: f(x)= 8.04489\n",
-      "differential_evolution step 25: f(x)= 8.04489\n",
-      "differential_evolution step 26: f(x)= 8.04489\n",
-      "differential_evolution step 27: f(x)= 8.04489\n",
-      "hyperparameters:  [1.4350853  0.12085441]\n",
+      "hyperparameters:  [1.43455918 0.10760601]\n",
       "prediction :  [2.74]\n",
-      "uncertainty:  [1.19795046]\n"
+      "uncertainty:  [1.19773084]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/marcus/Coding/fvGP/fvgp/gp.py:290: UserWarning: You have not provided hyperparameter bounds but a kernel function. \n",
+      "                     Make sure you provide hyperparameter bounds to the training.\n",
+      "  warnings.warn(\"You have not provided hyperparameter bounds but a kernel function. \\n \\\n",
+      "/tmp/ipykernel_1003689/1300562773.py:33: UserWarning: No noise function or measurement noise provided. Noise variances will be set to 1% of mean(y_data).\n",
+      "  my_gp = GP(1, x_data,y_data,init_hyperparameters=np.ones((2)), gp_kernel_function=kernel, info = True)\n"
      ]
     }
    ],
    "source": [
     "#making the x_data a set will allow us to put any objects or structures into it.\n",
-    "x_data = {('hello'),('world'),('this'),('is'),('fvgp')}\n",
+    "x_data = [('hello'),('world'),('this'),('is'),('fvgp')]\n",
     "y_data = np.array([2.,1.9,1.8,3.0,5.])\n",
     "\n",
     "\n",
@@ -131,13 +125,21 @@
     "print(\"prediction : \",my_gp.posterior_mean({'full'})[\"f(x)\"])\n",
     "print(\"uncertainty: \",np.sqrt(my_gp.posterior_covariance({'full'})[\"v(x)\"]))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f67d948f-c643-487d-ab5b-baf3d53f7b60",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "fvgp_dev",
    "language": "python",
-   "name": "python3"
+   "name": "fvgp_dev"
   },
   "language_info": {
    "codemirror_mode": {

diff --git a/docs/source/examples/SingleTaskTest.ipynb b/docs/source/examples/SingleTaskTest.ipynb
diff --git a/docs/source/examples/gp2ScaleTest.ipynb b/docs/source/examples/gp2ScaleTest.ipynb