Update Python tests and tutos

Author: relf

doc/Egor_Tutorial.ipynb

@@ -20,19 +20,10 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 1,
+            "execution_count": null,
             "id": "1504e619-5775-42d3-8f48-7339272303ec",
             "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Requirement already satisfied: egobox in d:\\rlafage\\miniconda3\\lib\\site-packages (0.12.0)\n",
-                        "Note: you may need to restart the kernel to use updated packages.\n"
-                    ]
-                }
-            ],
+            "outputs": [],
             "source": [
                 "%pip install egobox"
             ]
@@ -753,7 +744,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.8.5"
+            "version": "3.11.5"
         }
     },
     "nbformat": 4,

doc/Gpx_MaunaLoaCO2.ipynb

@@ -11,9 +11,9 @@
 num = 100
 x = np.linspace(0.0, 4.0, num).reshape((-1, 1))
 
-y = gpx.predict_values(x)
+y = gpx.predict(x)
 # estimated variance
-s2 = gpx.predict_variances(x)
+s2 = gpx.predict_var(x)
 
 fig, axs = plt.subplots(1)
 

doc/Gpx_Tutorial.ipynb

@@ -23,15 +23,15 @@ def test_gpx_kriging(self):
         print(f"gpx.likelihood = {gpx.likelihoods()}")
 
         # should interpolate
-        self.assertAlmostEqual(1.0, gpx.predict_values(np.array([[1.0]])).item())
-        self.assertAlmostEqual(0.0, gpx.predict_variances(np.array([[1.0]])).item())
+        self.assertAlmostEqual(1.0, gpx.predict(np.array([[1.0]])).item())
+        self.assertAlmostEqual(0.0, gpx.predict_var(np.array([[1.0]])).item())
 
         # check a point not too far from a training point
         self.assertAlmostEqual(
-            1.1163, gpx.predict_values(np.array([[1.1]])).item(), delta=1e-3
+            1.1163, gpx.predict(np.array([[1.1]])).item(), delta=1e-3
         )
         self.assertAlmostEqual(
-            0.0, gpx.predict_variances(np.array([[1.1]])).item(), delta=1e-3
+            0.0, gpx.predict_var(np.array([[1.1]])).item(), delta=1e-3
         )
 
     def test_gpx_save_load(self):
@@ -46,15 +46,15 @@ def test_gpx_save_load(self):
         os.remove(filename)
 
         # should interpolate
-        self.assertAlmostEqual(1.0, gpx2.predict_values(np.array([[1.0]])).item())
-        self.assertAlmostEqual(0.0, gpx2.predict_variances(np.array([[1.0]])).item())
+        self.assertAlmostEqual(1.0, gpx2.predict(np.array([[1.0]])).item())
+        self.assertAlmostEqual(0.0, gpx2.predict_var(np.array([[1.0]])).item())
 
         # check a point not too far from a training point
         self.assertAlmostEqual(
-            1.1163, gpx2.predict_values(np.array([[1.1]])).item(), delta=1e-3
+            1.1163, gpx2.predict(np.array([[1.1]])).item(), delta=1e-3
         )
         self.assertAlmostEqual(
-            0.0, gpx2.predict_variances(np.array([[1.1]])).item(), delta=1e-3
+            0.0, gpx2.predict_var(np.array([[1.1]])).item(), delta=1e-3
         )