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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.

Project description

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 RandomForestRegressor

Credits

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

History

0.2.0 (2017-04-01)

  • Add new models that can be used for imputation: KNN and PCA (@founderfan)
  • Add early stopping (@founderfan)

0.1.0 (2016-11-28)

  • First release on PyPI.

Project details


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predictive_imputer-0.2.0-py2.py3-none-any.whl (5.0 kB) Copy SHA256 hash SHA256 Wheel 3.5 Apr 1, 2017
predictive_imputer-0.2.0.tar.gz (12.5 kB) Copy SHA256 hash SHA256 Source None Apr 1, 2017

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