Update iris example

examples/glvq_iris.py

@@ -20,8 +20,8 @@ x_train = scaler.transform(x_train)
 
 # Define the GLVQ model
 class Model(torch.nn.Module):
-    def __init__(self, **kwargs):
-        """GLVQ model."""
+    def __init__(self):
+        """GLVQ model for training on 2D Iris data."""
         super().__init__()
         self.proto_layer = Prototypes1D(
             input_dim=2,
@@ -64,7 +64,7 @@ for epoch in range(70):
     # Get the prototypes form the model
     protos = model.proto_layer.prototypes.data.numpy()
     if np.isnan(np.sum(protos)):
-        print(f'Stopping because of `nan` in prototypes.')
+        print('Stopping training because of `nan` in prototypes.')
         break
 
     # Visualize the data and the prototypes