fec202278a4ecc6e3df57a13e3b2c16b16f09207,delft/sequenceLabelling/data_generator.py,DataGenerator,on_epoch_end,#DataGenerator#,68

Before Change

    def on_epoch_end(self):
        // shuffle dataset at each epoch
        if self.shuffle == True:
            if self.y is None:
                np.random.shuffle(self.x)
            else:
                self.shuffle_pair(self.x,self.y)

    def __data_generation(self, index):
        "Generates data containing batch_size samples"
        max_iter = min(self.batch_size, len(self.x)-self.batch_size*index)

After Change

    def on_epoch_end(self):
        // If we are predicting, we don"t need to shuffle
        if self.y is None:
            return

        // shuffle dataset at each epoch
        if self.shuffle:
            self._shuffle_dataset()

    def __data_generation(self, index):

Instances