Download Latest Version
v0.14_ Python 3.13 support and a new doubly robust estimator source code.zip (13.8 MB)
Get an email when there's a new version of DoWhy
| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2024-11-23 | 1.3 kB | |
| v0.12_ Python 3.12 compatibility, [experimental] support for time-series data, and extensions to new scenarios source code.tar.gz | 2024-11-23 | 13.3 MB | |
| v0.12_ Python 3.12 compatibility, [experimental] support for time-series data, and extensions to new scenarios source code.zip | 2024-11-23 | 13.5 MB | |
| Totals: 3 Items | 26.8 MB | 2 | |
New features and example notebooks, several bug fixes, and runtime improvements. Now compatible with Python 3.12.
- Python 3.12 support
- A new distribution change method that's more robust and converges faster (Multiply-robust causal change attribution, Quintas-Martinez et al. (2024))
- Support for effect estimation over time-series data (Notebook)
- New rank-based anomaly scorer
- New example notebook on sale attribution (Notebook)
- New example notebook applying DoWhy for counterfactual fairness (Notebook)
- Misc. updates to improve efficiency
- Ask queries about DoWhy using Gurubase.io
Contributors: @bloebp, @amit-sharma, @kursataktas, @vivianqin214, @kapkic, @GregVS, @kmhj13, @yangliu-SY, @nparent1, @rahulbshrestha, @srivhash, @darthtrevino, @yogabonito, @jonlives, @krz, @victor5as, @sinhaharsh, @Zethson, @dw-610, @diligejy
