Docstring is inherited from the LGBMModel.
(self, X, y,
sample_weight=None, init_score=None,
eval_set=None, eval_names=None, eval_sample_weight=None,
eval_init_score=None, eval_metric=None, early_stopping_rounds=None,
verbose=True, feature_name='auto', categorical_feature='auto',
callbacks=None, init_model=None)
| 731 | """LightGBM regressor.""" |
| 732 | |
| 733 | def fit(self, X, y, |
| 734 | sample_weight=None, init_score=None, |
| 735 | eval_set=None, eval_names=None, eval_sample_weight=None, |
| 736 | eval_init_score=None, eval_metric=None, early_stopping_rounds=None, |
| 737 | verbose=True, feature_name='auto', categorical_feature='auto', |
| 738 | callbacks=None, init_model=None): |
| 739 | """Docstring is inherited from the LGBMModel.""" |
| 740 | super(LGBMRegressor, self).fit(X, y, sample_weight=sample_weight, |
| 741 | init_score=init_score, eval_set=eval_set, |
| 742 | eval_names=eval_names, |
| 743 | eval_sample_weight=eval_sample_weight, |
| 744 | eval_init_score=eval_init_score, |
| 745 | eval_metric=eval_metric, |
| 746 | early_stopping_rounds=early_stopping_rounds, |
| 747 | verbose=verbose, feature_name=feature_name, |
| 748 | categorical_feature=categorical_feature, |
| 749 | callbacks=callbacks, init_model=init_model) |
| 750 | return self |
| 751 | |
| 752 | _base_doc = LGBMModel.fit.__doc__ |
| 753 | fit.__doc__ = (_base_doc[:_base_doc.find('eval_class_weight :')] |