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Merge pull request #457 from zhupr/fix_XGBoost_predict_error
fix XGBoost predict error
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@@ -62,7 +62,7 @@ class XGBModel(Model, FeatureInt):
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if self.model is None:
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raise ValueError("model is not fitted yet!")
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x_test = dataset.prepare(segment, col_set="feature", data_key=DataHandlerLP.DK_I)
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return pd.Series(self.model.predict(xgb.DMatrix(x_test.values)), index=x_test.index)
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return pd.Series(self.model.predict(xgb.DMatrix(x_test)), index=x_test.index)
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def get_feature_importance(self, *args, **kwargs) -> pd.Series:
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"""get feature importance
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