https://github.com/vsimkus/missing-data-provider
PyTorch data provider for Missing Data
https://github.com/vsimkus/missing-data-provider
data-science incomplete-data machine-learning missing-data missing-values pytorch
Last synced: 16 days ago
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PyTorch data provider for Missing Data
- Host: GitHub
- URL: https://github.com/vsimkus/missing-data-provider
- Owner: vsimkus
- Created: 2020-06-22T09:23:22.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-11-19T15:46:32.000Z (over 4 years ago)
- Last Synced: 2025-12-30T14:33:15.081Z (4 months ago)
- Topics: data-science, incomplete-data, machine-learning, missing-data, missing-values, pytorch
- Language: Python
- Homepage:
- Size: 26.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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.