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All LGBMRegressor model parameters are now set in config
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@ -85,7 +85,7 @@ class LightGBMPredictionModel(IFreqaiModel):
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X = data_dictionary["train_features"]
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y = data_dictionary["train_labels"]
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model = LGBMRegressor(seed=42, n_estimators=2000, verbosity=1, force_col_wise=True)
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model = LGBMRegressor(**self.model_training_parameters)
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model.fit(X=X, y=y, eval_set=eval_set)
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return model
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