0.0.9 release

kviz/visualizer.py

@@ -342,10 +342,10 @@ def fit(self, X, Y, snap_freq=10, filename='decision_boundary', duration=1000, *
 
         for _ in range(int(epochs / snap_freq)):
             self.model.fit(X, Y, epochs=snap_freq, **kwargs)
-            self._int_models = self._get_int_models()
+            # self._int_models = self._get_int_models() TODO: make this function more efficient
             images.append(im.fromarray(self._snap_decision_boundary(X, Y, filename)))
 
-        self._convert_gif(images, filename + 'gif', duration)
+        self._convert_gif(images, filename, duration)
         return self.model
 
 
@@ -425,7 +425,7 @@ def view_activations_for(self, X, filename='activations', duration=1000, x_color
             input_images.append(self._snap_X([i], X, filename, x_color=x_color, x_marker=x_marker))
             self._reset()
 
-        self._convert_gif(network_images, filename, duration)
+        self._stack_gifs(network_images, input_images, filename, duration)
         return
 
 

setup.py

@@ -12,7 +12,7 @@
 setup(
   name='kviz',
   packages=['kviz'],
-  version='0.0.8',
+  version='0.0.9',
   description='A Library for visualizing keras neural networks',
   install_requires=[
     'tensorflow',