graemedatanerds/predictive_imputer

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

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 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.