(model, callbacks=None, datasets=None, dump_weights=True, keep_states=True)
return pdict
Serialize the model, callbacks and datasets.

    Arguments:
        model (Model): Model object
        callbacks (Callbacks, optional): Callbacks
        datasets (iterable, optional): Datasets
        dump_weights (bool, optional): Ignored
        keep_states (bool, optional): Whether to save optimizer states too.

    Returns:
        dict: Model data, callbacks and datasets
Serialize the model, callbacks and datasets.
Serialize the model callbacks and datasets .
def serialize(model, callbacks=None, datasets=None, dump_weights=True, keep_states=True):
    """
    Serialize the model, callbacks and datasets.

    Arguments:
        model (Model): Model object
        callbacks (Callbacks, optional): Callbacks
        datasets (iterable, optional): Datasets
        dump_weights (bool, optional): Ignored
        keep_states (bool, optional): Whether to save optimizer states too.

    Returns:
        dict: Model data, callbacks and datasets

    """
    pdict = model.serialize(fn=None, keep_states=keep_states)
    if callbacks is not None:
        pdict['callbacks'] = callbacks.serialize()

    if datasets is not None:
        pdict['datasets'] = datasets.serialize()

    return pdict
def serialize ( model , callbacks = None , datasets = None , dump_weights = True , keep_states = True ) : pdict = model . serialize ( fn = None , keep_states = keep_states ) if callbacks is not None : pdict [ 'callbacks' ] = callbacks . serialize ( ) if datasets is not None : pdict [ 'datasets' ] = datasets . serialize ( ) return pdict