Update dynamic_nn.py

asreviewcontrib/models/dynamic_nn.py

@@ -40,7 +40,8 @@ def fit(self, X, y):
  if X.shape[1] > max_features:
  raise ValueError(f"Feature size too large: {X.shape[1]} features. Maximum allowed is {max_features}.")
 
- print("\nNumber of features:", X.shape[1])
+ if self.verbose == 1:
+ print("\nNumber of features:", X.shape[1])
  # Determine the number of layers based on the number of rows
  num_layers = ceil(log10(max(10, X.shape[0])))
 
@@ -53,7 +54,8 @@ def fit(self, X, y):
  min_delta=self.min_delta, 
  restore_best_weights=True)
 
- print(f"\nFitting New Iteration with {num_layers} layers:\n")
+ if self.verbose == 1:
+ print(f"\nFitting New Iteration with {num_layers} layers:\n")
  self._model.fit(X, y, epochs=100, batch_size=32, 
  shuffle=True, callbacks=[callback])