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Code repository of paper "Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data"

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Auto-FP

This is the public repository of Auto-FP paper, which includes technical report, source code, datasets and experimental results.

Datasets

You can download all 45 real-world datasets from here

Raw Experimental Results

You can find the raw experimental results here These results are used for generating table and figures in paper and technical report.

Dependencies

  • numpy
  • sklearn
  • tpot
  • joblib

Code References

ENAS: reference for implementation of ENAS

Hyperopt: for Anneal and TPE

  • Change: add output_dir parameter to output pipeline pick-up time

SMAC3: for SMAC

  • Change: add output_dir parameter to output pipeline pick-up time

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Code repository of paper "Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data"

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  • Python 100.0%