nn_utils.py not used anymore

nn_utils.py

@@ -1,46 +0,0 @@
-from keras.callbacks import Callback, EarlyStopping, ModelCheckpoint
-
-
-class TrainingHistory(Callback):
-    
-    def __init__(self, x_test, y_test, CLASSES_LIST):
-        super(Callback, self).__init__()
-        self.x_test = x_test
-        self.y_test = y_test
-        self.CLASSES_LIST = CLASSES_LIST
-        
-    def on_train_begin(self, logs={}):
-        self.losses = []
-        self.epoch_losses = []
-        self.epoch_val_losses = []
-        self.val_losses = []
-        self.predictions = []
-        self.epochs = []
-        self.f1 = []
-        self.i = 0
-        self.save_every = 50
-
-    def on_epoch_end(self, epoch, logs={}):
-        
-        y_predicted = self.model.predict(self.x_test).argmax(1)
-        print(y_predicted.shape)
-        
-        print("Test Accuracy:", accuracy_score(self.y_test, y_predicted))
-    
-        p, r, f1, s = precision_recall_fscore_support(self.y_test, y_predicted, 
-                                                      average='micro',
-                                                      labels=[x for x in 
-                                                              self.CLASSES_LIST])
-        
-        print('p r f1 %.1f %.1f %.1f' % (np.average(p, weights=s)*100.0, 
-                                         np.average(r, weights=s)*100.0, 
-                                         np.average(f1, weights=s)*100.0))
-        
-        try:
-            print(classification_report(self.y_test, y_predicted, labels=[x for x in 
-                                                               self.CLASSES_LIST]))
-        except:
-            print('ZERO')
-            
-
-