Pytorch Data Provider for Generating Artificially-Missing Data

The repository is currently work in progress. Its purpose is to generate synthetic datasets with missing values.

Future work

Implement Ampute algorithm from "Generating missing values for simulation purposes: a multivariate amputation procedure" by Schouten et al. (2018)
Add additional MNAR tests, e.g. KL-div of a model fitted on observed data and complete data.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
test		test
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
missing_data_provider.py		missing_data_provider.py