v0.3.5

networks/network.py

@@ -201,7 +201,7 @@ def test(self,X,y):
         for normalization_layer in self.normalization_layers:
             normalization_layer.params['mode']='train'
 
-        return np.mean(accuracies),np.sum(loss)
+        return np.mean(accuracies),np.mean(loss)
 
     def batch_test(self,X,y):
         loss = 0.0

setup.py

@@ -3,12 +3,12 @@
 setup(
     name = 'networks',
     packages = ['networks','networks/layers','networks/layers/util/','networks/layers/descent/'],
-    version = '0.3.4',  # Ideally should be same as your GitHub release tag varsion
+    version = '0.3.5',  # Ideally should be same as your GitHub release tag varsion
     description = 'Allows to create NN models',
     author = 'Shharrnam Chhatpar',
     author_email = 'sharnam19.nc@gmail.com',
     url = 'https://github.com/sharnam19/Networks',
-    download_url = 'https://github.com/sharnam19/Networks/archive/v0.3.4.tar.gz',
+    download_url = 'https://github.com/sharnam19/Networks/archive/v0.3.5.tar.gz',
     keywords = ['machine-learning', 'deep-learning','neural-networks','linear regression',
                 'logistic regression'],
     classifiers = [],