Update A2.py

A2.py

@@ -93,26 +93,25 @@ class GaussianRegression:
     
     def __init__(self, sigma=1.0):
         self.sigma = sigma
-        self.weights = None
+        self.w = None
         self.D = None
     
-    def fit(self, x_train, y_train, D):
+    def fit(self, x, y, D):
         # Store D for later use in predict
         self.D = D
-        
         # create features for training and fit using least squares
-        X_train_basis = gaussian_features(x_train, D, self.sigma)
-        self.weights = np.linalg.lstsq(X_train_basis, y_train, rcond=None)[0]
+        X = gaussian_features(x, D, self.sigma)
+        self.w = np.linalg.lstsq(X, y, rcond=None)[0]
         
         return self
     
 
-    def predict(self, x_predict):
+    def predict(self, x):
         # create features for prediction and predict
-        X_predict_basis = gaussian_features(x_predict, self.D, self.sigma)
-        y_pred = X_predict_basis @ self.weights
+        X = gaussian_features(x, self.D, self.sigma)
+        yh = X @ self.w
         
-        return y_pred
+        return yh