Project-BasicAlgorithm/core/training/lr.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(("onehot_encoder", get_onehot_encoder()))

    pipeline = Pipeline(steps=pipeline_mods)
    train_x = pipeline.fit_transform(train_x)
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Project-BasicAlgorithm/core/training/svm.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(("onehot_encoder", get_onehot_encoder()))

    pipeline = Pipeline(steps=pipeline_mods)
    train_x = pipeline.fit_transform(train_x)
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