Update app.py

app.py

@@ -29,26 +29,7 @@ from sklearn.feature_selection import SelectFromModel
 import tempfile
 #------------------------------------------GRUModel-------------------------------------
 def GRUModel(trainX, trainy, testX, testy, epochs=1000, batch_size=64, learning_rate=0.0001, l1_reg=0.001, l2_reg=0.001, dropout_rate=0.2):
-    """
-    GRU Model for regression tasks.
-
-    Args:
-        trainX (np.array): Training features of shape (samples, features).
-        trainy (np.array): Training target values of shape (samples,).
-        testX (np.array): Testing features of shape (samples, features).
-        testy (np.array): Testing target values of shape (samples,).
-        epochs (int): Number of epochs for training.
-        batch_size (int): Batch size for training.
-        learning_rate (float): Learning rate for the optimizer.
-        l1_reg (float): L1 regularization parameter.
-        l2_reg (float): L2 regularization parameter.
-        dropout_rate (float): Dropout rate for regularization.
-
-    Returns:
-        predicted_train (np.array): Predicted values for the training set.
-        predicted_test (np.array): Predicted values for the testing set.
-        history: Training history.
-    """
+    
     # Reshape trainX and testX to be 3D: (samples, timesteps, features)
     trainX = trainX.reshape((trainX.shape[0], 1, trainX.shape[1]))  # Adjusted for general feature count
     if testX is not None: