Filter to fill nan values in numeric features #167
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ivkireev86
approved these changes
Aug 22, 2024
| features = rec[0] if type(rec) is tuple else rec | ||
| for feature in self._cols: | ||
| if np.isnan(features[feature]).any(): | ||
| warnings.warn(f"Warning: There is nan values in column '{feature}'. It will be replaced by {self._fill_by}") |
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Перенести в trxencoder
| for feature in self._cols: | ||
| if np.isnan(features[feature]).any(): | ||
| warnings.warn(f"Warning: There is nan values in column '{feature}'. It will be replaced by {self._fill_by}") | ||
| features[feature] = np.nan_to_num(np.array(features[feature]).astype('float32').view('float32'), |
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Ожидается что это features[feature] тензор
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A filter has been added to fill nan and inf values in numeric features.
If there are nan values in data a warning is triggered.