[algorithm] added two output units to MLP binary classifier

bob/pad/base/algorithm/MLP.py

@@ -38,8 +38,10 @@ class MLP(Algorithm):
     
     # The data
     batch_size = len(training_features[0]) + len(training_features[1])
-    label_real = numpy.ones((len(training_features[0]), 1), dtype='float64')
-    label_attack = numpy.zeros((len(training_features[1]), 1), dtype='float64')
+    label_real = numpy.zeros((len(training_features[0]), 2), dtype='float64')
+    label_real[:, 0] = 1
+    label_attack = numpy.zeros((len(training_features[1]), 2), dtype='float64')
+    label_attack[:, 1] = 1
 
     real = numpy.array(training_features[0])
     attack = numpy.array(training_features[1])
@@ -53,7 +55,7 @@ class MLP(Algorithm):
     shape.append(input_dim)
     for i in range(len(self.hidden_units)):
       shape.append(self.hidden_units[i])
-    shape.append(1)
+    shape.append(2)
     shape = tuple(shape)
   
     self.mlp = bob.learn.mlp.Machine(shape)
@@ -85,4 +87,8 @@ class MLP(Algorithm):
     return self.mlp(feature)
 
   def score(self, toscore):
+    #print(toscore)
+    #print(toscore[0])
+    #import sys
+    #sys.exit()
     return [toscore[0]]