row_stack --> vstack

lbl-camera · Oct 16, 2024 · 7f074ab · 7f074ab
1 parent 618f111
commit 7f074ab
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/fvgp/fvgp.py b/fvgp/fvgp.py
@@ -419,12 +419,12 @@ def update_gp_data(
             if noise_variances_new is not None:
                 assert isinstance(noise_variances_new, np.ndarray) or isinstance(noise_variances_new, list)
                 if isinstance(noise_variances_new, np.ndarray): self.fvgp_noise_variances = (
-                    np.row_stack([self.fvgp_noise_variances, noise_variances_new]))
+                    np.vstack([self.fvgp_noise_variances, noise_variances_new]))
                 if isinstance(noise_variances_new, list): self.fvgp_noise_variances = (
                     self.fvgp_noise_variances + noise_variances_new)
-            if isinstance(x_new, np.ndarray): self.fvgp_x_data = np.row_stack([self.fvgp_x_data, x_new])
+            if isinstance(x_new, np.ndarray): self.fvgp_x_data = np.vstack([self.fvgp_x_data, x_new])
             if isinstance(x_new, list): self.fvgp_x_data = self.fvgp_x_data + x_new
-            if isinstance(y_new, np.ndarray): self.fvgp_y_data = np.row_stack([self.fvgp_y_data, y_new])
+            if isinstance(y_new, np.ndarray): self.fvgp_y_data = np.vstack([self.fvgp_y_data, y_new])
             if isinstance(y_new, list): self.fvgp_y_data = self.fvgp_y_data + y_new
         else:
             self.fvgp_noise_variances = noise_variances_new

diff --git a/fvgp/gp_data.py b/fvgp/gp_data.py
@@ -51,7 +51,7 @@ def update(self, x_data_new, y_data_new, noise_variances_new=None, append=True):
             self.y_data = y_data_new
             self.noise_variances = noise_variances_new
         else:
-            if self.Euclidean: self.x_data = np.row_stack([self.x_data, x_data_new])
+            if self.Euclidean: self.x_data = np.vstack([self.x_data, x_data_new])
             else: self.x_data = self.x_data + x_data_new
             self.y_data = np.append(self.y_data, y_data_new)
             if isinstance(noise_variances_new, np.ndarray):