How to use the skorch.callbacks.PrintLog function in skorch

* callbacks with and without name
          * initialized and uninitialized callbacks
          * puts PrintLog(s) last

        """
        print_logs = []
        for item in self.get_default_callbacks() + (self.callbacks or []):
            if isinstance(item, (tuple, list)):
                name, cb = item
            else:
                cb = item
                if isinstance(cb, type):  # uninitialized:
                    name = cb.__name__
                else:
                    name = cb.__class__.__name__
            if isinstance(cb, PrintLog) or (cb == PrintLog):
                print_logs.append((name, cb))
            else:
                yield name, cb
        yield from print_logs

def _default_callbacks(self):
        return [
            ('epoch_timer', EpochTimer()),
            ('train_loss', BatchScoring(
                train_loss_score,
                name='train_loss',
                on_train=True,
                target_extractor=noop,
            )),
            ('valid_loss', BatchScoring(
                valid_loss_score,
                name='valid_loss',
                target_extractor=noop,
            )),
            ('print_log', PrintLog()),
        ]

def _default_callbacks(self):
        return [
            ('epoch_timer', EpochTimer()),
            ('train_loss', BatchScoring(
                train_loss_score,
                name='train_loss',
                on_train=True,
                target_extractor=noop,
            )),
            ('valid_loss', BatchScoring(
                valid_loss_score,
                name='valid_loss',
                target_extractor=noop,
            )),
            ('print_log', PrintLog()),
        ]

* puts PrintLog(s) last

        """
        print_logs = []
        for item in self.get_default_callbacks() + (self.callbacks or []):
            if isinstance(item, (tuple, list)):
                named_by_user = True
                name, cb = item
            else:
                named_by_user = False
                cb = item
                if isinstance(cb, type):  # uninitialized:
                    name = cb.__name__
                else:
                    name = cb.__class__.__name__
            if isinstance(cb, PrintLog) or (cb == PrintLog):
                print_logs.append((name, cb, named_by_user))
            else:
                yield name, cb, named_by_user
        yield from print_logs

train_loss_score,
                name='train_loss',
                on_train=True,
                target_extractor=noop,
            )),
            ('valid_loss', BatchScoring(
                valid_loss_score,
                name='valid_loss',
                target_extractor=noop,
            )),
            ('valid_acc', EpochScoring(
                'accuracy',
                name='valid_acc',
                lower_is_better=False,
            )),
            ('print_log', PrintLog()),
        ]