semvec/pypi-packages huggingface dataset:
predictive_imputer 0.2.0
Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.
License: MIT license
Keywords: predictive_imputer

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Predictive Imputer
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        :target: https://predictive-imputer.readthedocs.io/en/latest/?badge=latest
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     :alt: Updates


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
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* Basic imputation using RandomForestRegressor

Credits
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This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



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History
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0.2.0 (2017-04-01)
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* Add new models that can be used for imputation: KNN and PCA (@founderfan)
* Add early stopping (@founderfan)

0.1.0 (2016-11-28)
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* First release on PyPI.