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
Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.
Free software: MIT license
Documentation: https://predictive-imputer.readthedocs.io.
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.
Release history Release notifications | RSS feed
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