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@@ -135,9 +135,9 @@ def predict_local_save_for_auc(old_df: pd.DataFrame, new_df: pd.DataFrame):
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d = {"old": old_df, "new": new_df}
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d = {"old": old_df, "new": new_df}
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for key in d:
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for key in d:
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df = d[key][['label', "score"]]
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df = d[key][['label', "score"]]
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- df.to_csv(f"{PREDICT_CACHE_PATH}/{key}_1.csv", index=False, header=False)
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+ df.to_csv(f"{PREDICT_CACHE_PATH}/{key}_1.csv", sep="\t", index=False, header=False)
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df = d[key][['label', "score_2"]]
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df = d[key][['label', "score_2"]]
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- df.to_csv(f"{PREDICT_CACHE_PATH}/{key}_2.csv", index=False, header=False)
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+ df.to_csv(f"{PREDICT_CACHE_PATH}/{key}_2.csv", sep="\t", index=False, header=False)
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def _main(old_predict_path: str, new_predict_path: str, calibration_file: str, analyse_file: str):
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def _main(old_predict_path: str, new_predict_path: str, calibration_file: str, analyse_file: str):
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