(self, callback_data, model, epoch, minibatch)
Called when minibatch is about to end

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): index of current epoch
            minibatch (int): index of minibatch that is ending
Called when minibatch is about to end
Called when minibatch is about to end
def on_minibatch_end(self, callback_data, model, epoch, minibatch):
        """
        Called when minibatch is about to end

        Arguments:
            callback_data (HDF5 dataset): shared data between callbacks
            model (Model): model object
            epoch (int): index of current epoch
            minibatch (int): index of minibatch that is ending
        """
        now = default_timer()
        mb_complete = minibatch + 1
        if (now - self.last_update > self.update_thresh_s or mb_complete == self.nbatches):
            self.last_update = now
            mbstart = callback_data['time_markers/minibatch'][epoch - 1] if epoch > 0 else 0
            if 'cost/train' in callback_data:
                train_cost = callback_data['cost/train'][mbstart + minibatch]
            elif 'multicost/train' in callback_data:
                train_cost = callback_data['multicost/train'][mbstart + minibatch]
            else:
                train_cost = 'na'

            progress_string = get_progress_string("Train", epoch, mb_complete, self.nbatches,
                                                  train_cost, now - self.start_epoch)
            # clear the last line
            sys.stdout.write('\r' + ' ' * self._last_strlen + '\r')
            # print the new line
            if PY3:
                sys.stdout.write(progress_string)
            else:
                sys.stdout.write(progress_string.encode("utf-8"))
            self._last_strlen = len(progress_string)
            sys.stdout.flush()
def on_minibatch_end ( self , callback_data , model , epoch , minibatch ) : now = default_timer ( ) mb_complete = minibatch + 1 if ( now - self . last_update > self . update_thresh_s or mb_complete == self . nbatches ) : self . last_update = now mbstart = callback_data [ 'time_markers/minibatch' ] [ epoch - 1 ] if epoch > 0 else 0 if 'cost/train' in callback_data : train_cost = callback_data [ 'cost/train' ] [ mbstart + minibatch ] elif 'multicost/train' in callback_data : train_cost = callback_data [ 'multicost/train' ] [ mbstart + minibatch ] else : train_cost = 'na' progress_string = get_progress_string ( "Train" , epoch , mb_complete , self . nbatches , train_cost , now - self . start_epoch ) # clear the last line sys . stdout . write ( '\r' + ' ' * self . _last_strlen + '\r' ) # print the new line if PY3 : sys . stdout . write ( progress_string ) else : sys . stdout . write ( progress_string . encode ( "utf-8" ) ) self . _last_strlen = len ( progress_string ) sys . stdout . flush ( )