Added new contextual bandit algorithm and updated example notebook.

onn/OnlineNeuralNetwork.py

@@ -153,7 +153,7 @@ class ONN(nn.Module):
 
 class ONN_THS(ONN):
     def __init__(self, features_size, max_num_hidden_layers, qtd_neuron_per_hidden_layer, n_classes, b=0.99, n=0.01,
-                 s=0.2, e=[0.5, 0.35, 0.2, 0.1], use_cuda=False):
+                 s=0.2, e=[0.5, 0.35, 0.2, 0.1, 0.05], use_cuda=False):
         super().__init__(features_size, max_num_hidden_layers, qtd_neuron_per_hidden_layer, n_classes, b=b, n=n, s=s,
                          use_cuda=use_cuda)
         self.e = e

setup.py

@@ -6,7 +6,7 @@ with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
     long_description = f.read()
 
 setup(name='onn',
-      version='0.1.1',
+      version='0.1.3',
       description='Online Neural Network',
       url='https://github.com/alison-carrera/onn',
       author='Alison Carrera',