(self, min=None, max_minus_min=None, max=None, **kwargs)
| 92 | |
| 93 | class MinMax_Normalizer(NormalizationMethod): |
| 94 | def __init__(self, min=None, max_minus_min=None, max=None, **kwargs): |
| 95 | super().__init__(**kwargs) |
| 96 | self.min = min |
| 97 | if min: |
| 98 | assert max_minus_min or max |
| 99 | self.max_minus_min = max_minus_min or max - min |
| 100 | |
| 101 | def normalize(self, data, axis=None, *args, **kwargs): |
| 102 | # self.min = np.min(data, axis=axis) |