Project-BasicAlgorithm/core/training/lightgbm.py [29:35]:
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    train_x, train_y, test_x, test_y, param_file=None, params=None, search_params=None
):
    pipeline_mods = []

    pipeline_mods.append(("oridinal_encoder", get_oridinal_encoder()))
    pipeline = Pipeline(steps=pipeline_mods)
    train_x = pipeline.fit_transform(train_x)
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Project-BasicAlgorithm/core/training/xgboost.py [30:36]:
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    train_x, train_y, test_x, test_y, param_file=None, params=None, search_params=None
):
    pipeline_mods = []
    pipeline_mods.append(("oridinal_encoder", get_oridinal_encoder()))
    pipeline = Pipeline(steps=pipeline_mods)

    train_x = pipeline.fit_transform(train_x)
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