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Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.

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WanBenLe/predictive_imputer

 
 

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Predictive Imputer

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Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.

Features

  • Basic imputation using RandomForest, KNN, or PCA
  • Early stopping if model has reached some convergence

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

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Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.

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  • Python 81.4%
  • Makefile 18.6%