work on docstrings and tests

lbl-camera · Nov 10, 2023 · 6ed4bf7 · 6ed4bf7
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diff --git a/docs/source/examples/1dSingleTaskAcqFuncTest.ipynb b/docs/source/examples/1dSingleTaskAcqFuncTest.ipynb
diff --git a/docs/source/examples/GPONonEuclideanInputSpaces.ipynb b/docs/source/examples/GPONonEuclideanInputSpaces.ipynb
@@ -39,42 +39,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "b91e69d3",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "differential_evolution step 1: f(x)= 10.1306\n",
-      "differential_evolution step 2: f(x)= 8.85223\n",
-      "differential_evolution step 3: f(x)= 8.85223\n",
-      "differential_evolution step 4: f(x)= 8.85223\n",
-      "differential_evolution step 5: f(x)= 8.72559\n",
-      "differential_evolution step 6: f(x)= 8.72559\n",
-      "differential_evolution step 7: f(x)= 8.10705\n",
-      "differential_evolution step 8: f(x)= 8.10705\n",
-      "differential_evolution step 9: f(x)= 8.10705\n",
-      "differential_evolution step 10: f(x)= 8.10705\n",
-      "differential_evolution step 11: f(x)= 8.10705\n",
-      "differential_evolution step 12: f(x)= 8.10705\n",
-      "differential_evolution step 13: f(x)= 8.066\n",
-      "differential_evolution step 14: f(x)= 8.04529\n",
-      "differential_evolution step 15: f(x)= 8.04529\n",
-      "differential_evolution step 16: f(x)= 8.04529\n",
-      "differential_evolution step 17: f(x)= 8.04529\n",
-      "differential_evolution step 18: f(x)= 8.04529\n",
-      "differential_evolution step 19: f(x)= 8.04529\n",
-      "differential_evolution step 20: f(x)= 8.04497\n",
+      "differential_evolution step 1: f(x)= 9.9004\n",
+      "differential_evolution step 2: f(x)= 9.9004\n",
+      "differential_evolution step 3: f(x)= 8.61371\n",
+      "differential_evolution step 4: f(x)= 8.61371\n",
+      "differential_evolution step 5: f(x)= 8.61371\n",
+      "differential_evolution step 6: f(x)= 8.61371\n",
+      "differential_evolution step 7: f(x)= 8.37801\n",
+      "differential_evolution step 8: f(x)= 8.15879\n",
+      "differential_evolution step 9: f(x)= 8.06504\n",
+      "differential_evolution step 10: f(x)= 8.06504\n",
+      "differential_evolution step 11: f(x)= 8.06504\n",
+      "differential_evolution step 12: f(x)= 8.04906\n",
+      "differential_evolution step 13: f(x)= 8.04906\n",
+      "differential_evolution step 14: f(x)= 8.04711\n",
+      "differential_evolution step 15: f(x)= 8.04711\n",
+      "differential_evolution step 16: f(x)= 8.0449\n",
+      "differential_evolution step 17: f(x)= 8.0449\n",
+      "differential_evolution step 18: f(x)= 8.0449\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",
-      "hyperparameters:  [1.43588541 0.11134392]\n",
-      "prediction :  [2.74]\n",
-      "uncertainty:  [1.19828436]\n"
+      "hyperparameters:  [1.43528892 0.26608513]\n",
+      "prediction :  [2.73999995]\n",
+      "uncertainty:  [1.19803544]\n"
      ]
     }
    ],
@@ -109,10 +108,11 @@
     "    return hps[0] * obj.matern_kernel_diff1(d,hps[1])\n",
     "    \n",
     "\n",
-    "bounds = np.array([[0.001,100.],[0.001,100]])\n",
+    "\n",
     "my_gp = GPOptimizer(x_data,y_data, init_hyperparameters=np.ones((2)),\n",
-    "                    gp_kernel_function=kernel,hyperparameter_bounds=bounds, info = True)\n",
-    "my_gp.train()\n",
+    "                    gp_kernel_function=kernel, info = True)\n",
+    "bounds = np.array([[0.001,100.],[0.001,100]])\n",
+    "my_gp.train(hyperparameter_bounds=bounds)\n",
     "\n",
     "print(\"hyperparameters: \", my_gp.hyperparameters)\n",
     "print(\"prediction : \",my_gp.posterior_mean({'full'})[\"f(x)\"])\n",
@@ -121,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "a5644ec5",
    "metadata": {},
    "outputs": [
@@ -130,13 +130,13 @@
       "text/plain": [
        "{'x': array([['me'],\n",
        "        ['it'],\n",
-       "        ['is'],\n",
-       "        ['world']], dtype='<U5'),\n",
-       " 'f(x)': array([1.43588541, 1.43588541, 0.02688694, 0.02688694]),\n",
+       "        ['hello'],\n",
+       "        ['is']], dtype='<U5'),\n",
+       " 'f(x)': array([1.43528892, 1.43511274, 0.02688673, 0.02688673]),\n",
        " 'opt_obj': None}"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }