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@@ -63,6 +63,9 @@ def train(_data_file, _model_name):
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dump(clf, model_file_path)
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+ if not os.path.exists(cfg.results_information_folder):
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+ os.makedirs(cfg.results_information_folder)
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+
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# save score into global_result.csv file
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with open(cfg.global_result_filepath, "a") as f:
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f.write(model_filename.replace('.joblib', '') + ';' + str(len(y)) + ';' + str(coeff) + ';\n')
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