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jasonshaoshun
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8393574
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Parent(s):
934321b
caulsal-track debug
Browse files- src/populate.py +8 -10
src/populate.py
CHANGED
@@ -39,9 +39,7 @@ def get_leaderboard_df_mib_subgraph(results_path: str, requests_path: str, cols:
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"""Creates a dataframe from all the MIB experiment results"""
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# print(f"results_path is {results_path}, requests_path is {requests_path}")
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raw_data = get_raw_eval_results_mib_subgraph(results_path, requests_path)
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# Convert each result to dict format
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all_data_json = [v.to_dict(metric_type=metric_type) for v in raw_data]
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# print(f"all_data_json is {pd.DataFrame.from_records(all_data_json)}")
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@@ -127,16 +125,16 @@ def create_intervention_averaged_df(df: pd.DataFrame) -> pd.DataFrame:
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def get_leaderboard_df_mib_causalgraph(results_path: str, requests_path: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
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# print(f"results_path is {results_path}, requests_path is {requests_path}")
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all_data_json = [v.to_dict() for v in raw_detailed_df]
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detailed_df = pd.DataFrame.from_records(all_data_json)
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all_data_json = [v.to_dict() for v in raw_aggregated_df]
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aggregated_df = pd.DataFrame.from_records(all_data_json)
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all_data_json = [v.to_dict() for v in raw_intervention_averaged_df]
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intervention_averaged_df = pd.DataFrame.from_records(all_data_json)
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# # Rename columns to match schema
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# column_mapping = {}
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"""Creates a dataframe from all the MIB experiment results"""
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# print(f"results_path is {results_path}, requests_path is {requests_path}")
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raw_data = get_raw_eval_results_mib_subgraph(results_path, requests_path)
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all_data_json = [v.to_dict(metric_type=metric_type) for v in raw_data]
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# print(f"all_data_json is {pd.DataFrame.from_records(all_data_json)}")
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def get_leaderboard_df_mib_causalgraph(results_path: str, requests_path: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
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# print(f"results_path is {results_path}, requests_path is {requests_path}")
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detailed_df, aggregated_df, intervention_averaged_df = get_raw_eval_results_mib_causalgraph(results_path, requests_path)
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# all_data_json = [v.to_dict() for v in raw_detailed_df]
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# detailed_df = pd.DataFrame.from_records(all_data_json)
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# all_data_json = [v.to_dict() for v in raw_aggregated_df]
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# aggregated_df = pd.DataFrame.from_records(all_data_json)
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# all_data_json = [v.to_dict() for v in raw_intervention_averaged_df]
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# intervention_averaged_df = pd.DataFrame.from_records(all_data_json)
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# # Rename columns to match schema
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# column_mapping = {}
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