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import os |
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from holisticai.benchmark import BiasMitigationBenchmark |
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def main(): |
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for task_type in ["multiclass", |
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"regression", |
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"clustering", |
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"binary_classification", |
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]: |
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for stage in ["preprocessing", |
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"inprocessing", |
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"postprocessing" |
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]: |
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benchmark = BiasMitigationBenchmark(task_type, stage) |
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results = benchmark.run() |
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if not os.path.exists("data"): |
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os.makedirs("data") |
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results.to_csv(f"data/benchmark_{task_type}_{stage}.csv", index=True) |
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print(f"Results saved for {task_type} task type and {stage} stage.") |
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if __name__ == "__main__": |
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main() |