(X, n=None, negative_class=0.)
| 34 | return skutils.shuffle(*arrays, random_state=np_rng) |
| 35 | |
| 36 | def OneHot(X, n=None, negative_class=0.): |
| 37 | X = np.asarray(X).flatten() |
| 38 | if n is None: |
| 39 | n = np.max(X) + 1 |
| 40 | Xoh = np.ones((len(X), n)) * negative_class |
| 41 | Xoh[np.arange(len(X)), X] = 1. |
| 42 | return Xoh |
| 43 | |
| 44 | def iter_data(*data, **kwargs): |
| 45 | size = kwargs.get('size', 128) |
no outgoing calls
no test coverage detected