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v0.16.0 source code.tar.gz (20.8 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2024-02-14 | 1.4 kB | |
| v0.15.0 source code.tar.gz | 2024-02-14 | 20.8 MB | |
| v0.15.0 source code.zip | 2024-02-14 | 20.9 MB | |
| Totals: 3 Items | 41.6 MB | 0 | |
This is a major update of the library, with several important improvements, as well as a number of bug-fixes and minor improvements.
What's Changed
- Adds the ability to scale ortholearner training using Ray (by @v-shaal in https://github.com/py-why/EconML/pull/800)
- Allows missing values in W and sometimes X (by @fverac in https://github.com/py-why/EconML/pull/791)
- Enables federated estimation of linear models (by @kgao in https://github.com/py-why/EconML/pull/818)
- Provides a CATE validation suite for discrete models (by @amarvenu in https://github.com/py-why/EconML/pull/777 and https://github.com/py-why/EconML/pull/836)
- Enable model selection for first stage models (by @kbattocchi in https://github.com/py-why/EconML/pull/808 and https://github.com/py-why/EconML/pull/848)
- Improve discreteness handling, allow binary outcomes by @fverac in https://github.com/py-why/EconML/pull/816
New Contributors
- @star1327p made their first contribution in https://github.com/py-why/EconML/pull/713
- @v-shaal made their first contribution in https://github.com/py-why/EconML/pull/800
- @kgao made their first contribution in https://github.com/py-why/EconML/pull/818
- @amarvenu made their first contribution in https://github.com/py-why/EconML/pull/777
Full Changelog: https://github.com/py-why/EconML/compare/v0.14.1...v0.15.0
