Metadata-Version: 2.1
Name: pca_inputter
Version: 0.1.2
Summary: Package for handling missing values in numerical datasets
Home-page: https://github.com/maleckicoa/pca_inputter/
Author: Aleksa Mihajlovic
Author-email: mihajlovic.aleksa@gmail.com
License: LICENSE.txt
Requires-Python: >=3.7.1
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas>=1.3.5
Requires-Dist: numpy>=1.17.3
Requires-Dist: scikit-learn>=0.22.2

pca_inputter is a powerful technique for handling missing values in numerical datasets

The algorithm is referred to as “Hard-Impute” in Mazumder, Hastie, and Tibshirani (2010) 
“Spectral regularization algorithms for learning large incomplete matrices”,
Published in Journal of Machine Learning Research, pages 2287–2322. 
