Function shuffle

lib/data_utils.py:30–34

(*arrays, **options)

        return [[d[idx] for idx in idxs] for d in data]

def shuffle(*arrays, **options):
    if isinstance(arrays[0][0], basestring):
        return list_shuffle(*arrays)
    else:
        return skutils.shuffle(*arrays, random_state=np_rng)

def OneHot(X, n=None, negative_class=0.):
    X = np.asarray(X).flatten()