(self, callback_data, model, epochs)
Called when training is about to begin

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epochs (int): Total epochs
Called when training is about to begin
Called when training is about to begin
def on_train_begin(self, callback_data, model, epochs):
        """
        Called when training is about to begin

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epochs (int): Total epochs
        """
        timing = callback_data.create_group("time/train")
        timing.create_dataset("start_time", (1,), dtype='float64')
        timing.create_dataset("end_time", (1,), dtype='float64')
        timing['start_time'][0] = time.time()
        timing['start_time'].attrs['units'] = 'seconds'
def on_train_begin ( self , callback_data , model , epochs ) : timing = callback_data . create_group ( "time/train" ) timing . create_dataset ( "start_time" , ( 1 , ) , dtype = 'float64' ) timing . create_dataset ( "end_time" , ( 1 , ) , dtype = 'float64' ) timing [ 'start_time' ] [ 0 ] = time . time ( ) timing [ 'start_time' ] . attrs [ 'units' ] = 'seconds'