examples checked

examples/MultiTaskTest.ipynb

@@ -16,8 +16,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "##first install the newest version of fvgp\n",
-    "#!pip install fvgp~=4.5.3"
+    "##first, install the newest version of fvgp\n",
+    "#!pip install fvgp~=4.5.5"
    ]
   },
   {
@@ -133,9 +133,10 @@
    "outputs": [],
    "source": [
     "#mean and standard deviation\n",
-    "mean = my_gp2.posterior_mean(x_pred=x_pred1d.reshape(50,1), x_out=np.array([0,1]))[\"f(x)\"]\n",
+    "mean = my_gp2.posterior_mean(x_pred=x_pred1d.reshape(50,1))[\"f(x)\"]\n",
     "std = np.sqrt(my_gp2.posterior_covariance(x_pred=x_pred1d.reshape(50,1), x_out=np.array([0,1]))[\"v(x)\"])\n",
     "\n",
+    "\n",
     "plt.plot(x_pred1d.reshape(50,1),mean[:,0], label = \"mean task 1\")\n",
     "plt.plot(x_pred1d.reshape(50,1),mean[:,1], label = \"mean task 2\")\n",
     "plt.scatter(x_data,y_data1) \n",
@@ -508,6 +509,14 @@
     "fig.show()\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "811a3337-a377-44bd-85b7-9a699c299cd0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

examples/SingleTaskTest.ipynb

@@ -13,7 +13,7 @@
    "id": "a1b1c026",
    "metadata": {},
    "source": [
-    "This is the new test for fvgp version 4.3.0 and later."
+    "This is the new test for fvgp version 4.5.5 and later."
    ]
   },
   {
@@ -23,7 +23,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#!pip install fvgp~=4.5.3"
+    "#!pip install fvgp~=4.5.5"
    ]
   },
   {

fvgp/gp_posterior.py

@@ -31,6 +31,7 @@ def posterior_mean(self, x_pred, hyperparameters=None, x_out=None):
             hyperparameters = self.prior_obj.hyperparameters
 
         if x_out is None: x_out = self.x_out
+        print(x_out)
         self._perform_input_checks(x_pred, x_out)
         x_orig = x_pred.copy()