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@ -62,13 +62,13 @@ def diff(base_df, test_csv):
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test_df['rank_diff'] = rank_diff
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test_df['rank_diff'] = rank_diff
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test_df['param_count'] = test_df['param_count'].map('{:,.2f}'.format)
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test_df['param_count'] = test_df['param_count'].map('{:,.2f}'.format)
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test_df.sort_values('top1', ascending=False, inplace=True)
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test_df.sort_values(['top1', 'top5', 'model'], ascending=[False, False, True], inplace=True)
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test_df.to_csv(test_csv, index=False, float_format='%.3f')
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test_df.to_csv(test_csv, index=False, float_format='%.3f')
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for base_results, test_results in results.items():
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for base_results, test_results in results.items():
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base_df = pd.read_csv(base_results)
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base_df = pd.read_csv(base_results)
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base_df.sort_values('top1', ascending=False, inplace=True)
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base_df.sort_values(['top1', 'top5', 'model'], ascending=[False, False, True], inplace=True)
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for test_csv in test_results:
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for test_csv in test_results:
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diff(base_df, test_csv)
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diff(base_df, test_csv)
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base_df['param_count'] = base_df['param_count'].map('{:,.2f}'.format)
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base_df['param_count'] = base_df['param_count'].map('{:,.2f}'.format)
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