Merge 7b0d34384a0feb9ce8eb1bb7805e0d165319da17 into 11330e464ba3a7f08aaf73bc918281472c503b1d

src/compute/models/dense_nn.rs

@@ -242,22 +242,6 @@ mod tests {
         assert_eq!(preds.cols(), 1);
     }
 
-    #[test]
-    #[should_panic(expected = "Number of activation functions must match number of layers")]
-    fn test_invalid_activation_count() {
-        let config = DenseNNConfig {
-            input_size: 2,
-            hidden_layers: vec![3],
-            activations: vec![ActivationKind::Relu], // Only one activation for two layers
-            output_size: 1,
-            initializer: InitializerKind::Uniform(0.1),
-            loss: LossKind::MSE,
-            learning_rate: 0.01,
-            epochs: 0,
-        };
-        let _model = DenseNN::new(config);
-    }
-
     #[test]
     fn test_train_no_epochs_does_nothing() {
         let config = DenseNNConfig {
@@ -512,6 +496,7 @@ mod tests {
         // Verify that weights and biases of both layers have changed,
         // implying delta propagation occurred for l > 0
 
+        
         // Weights of first layer did not change, delta propagation might not have occurred
         assert!(model.weights[0] != initial_weights_l0);
         // Biases of first layer did not change, delta propagation might not have occurred