hyperimpute
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  • Imputers
  • Classifiers
  • Regressors
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hyperimpute
  • hyperimpute.utils package
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hyperimpute.utils package

Submodules

  • hyperimpute.utils.benchmarks module
  • hyperimpute.utils.distributions module
    • enable_reproducible_results()
  • hyperimpute.utils.encoder module
    • numpy_encoder
      • numpy_encoder.default()
  • hyperimpute.utils.metrics module
    • evaluate_auc()
    • evaluate_wnd()
    • generate_score()
    • get_y_pred_proba_hlpr()
    • print_score()
  • hyperimpute.utils.optimizer module
  • hyperimpute.utils.pandas module
    • compress_df()
    • optimize_floats()
    • optimize_ints()
    • optimize_objects()
    • read_csv_compressed()
  • hyperimpute.utils.parallel module
    • cpu_count()
  • hyperimpute.utils.serialization module
    • Serializable
      • Serializable.load()
      • Serializable.load_dict()
      • Serializable.save()
      • Serializable.save_dict()
      • Serializable.save_to_file()
      • Serializable.version()
    • _add_version()
    • _check_version()
    • load()
    • load_from_file()
    • save()
    • save_to_file()
  • hyperimpute.utils.tester module
    • Eval
      • Eval.average_precision_score()
      • Eval.get_metric()
      • Eval.roc_auc_score()
      • Eval.score_proba()
    • evaluate_estimator()
    • evaluate_regression()
    • score_classification_model()
  • hyperimpute.utils.torch module
    • one_hot_encoder()

© Copyright 2023, Bogdan Cebere. Revision cbc4cc9c.

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