Introduction¶
This is the documentation for DataWig, a framework for learning models to impute missing values in tables.
Details on the underlying model can be found in Biessmann, Salinas et al. 2018.
@inproceedings{datawig,
author = {Biessmann, Felix and Salinas, David and Schelter, Sebastian and Schmidt, Philipp and Lange, Dustin},
title = {"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data},
booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
series = {CIKM '18},
year = {2018},
isbn = {978-1-4503-6014-2},
location = {Torino, Italy},
pages = {2017--2025},
numpages = {9},
url = {http://doi.acm.org/10.1145/3269206.3272005},
doi = {10.1145/3269206.3272005},
keywords = {data cleaning, missing value imputation}}