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@@ -211,7 +211,7 @@ if __name__ == "__main__":
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# L.evaluate_model()
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# L.feature_importance()
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L = LightGBM("train", "whole")
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- L.tune()
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+ L.best_params()
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# study = optuna.create_study(direction='maximize')
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# study.optimize(L.bays_params, n_trials=100)
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# print('Number of finished trials:', len(study.trials))
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