Small changes

README.md

@@ -28,12 +28,12 @@ The plugin should then be available for use in your Python environment as
 - Generalized Relevance Learning Vector Quantization (GRLVQ)
 - Generalized Matrix Learning Vector Quantization (GMLVQ)
 - Limited-Rank Matrix Learning Vector Quantization (LiRaMLVQ)
+- Learning Vector Quantization Multi-Layer Network (LVQMLN)
 - Siamese GLVQ
 - Neural Gas (NG)
 
 ## Work in Progress
 
-- Learning Vector Quantization Multi-Layer Network (LVQMLN)
 - Classification-By-Components Network (CBC)
 - Learning Vector Quantization 2.1 (LVQ2.1)
 

examples/cbc_iris.py

@@ -33,7 +33,9 @@ if __name__ == "__main__":
 
     # Callbacks
     dvis = pt.models.VisCBC2D(data=(x_train, y_train),
-                              title="CBC Iris Example")
+                              title="CBC Iris Example",
+                              resolution=300,
+                              axis_off=True)
 
     # Setup trainer
     trainer = pl.Trainer(

examples/glvq_spiral.py

@@ -30,7 +30,7 @@ if __name__ == "__main__":
                                                                    noise=1e-1))
 
     # Callbacks
-    vis = pt.models.VisGLVQ2D(train_ds, show_last_only=True, block=True)
+    vis = pt.models.VisGLVQ2D(train_ds, show_last_only=True)
     snan = StopOnNaN(model.proto_layer.components)
 
     # Setup trainer