v0.11.0
0.11.0 (2021-07-28)
(sorry for the spam, attempting to correctly update to the right files)
- CausalML surpassed 2K stars!
- We have 3 new community contributors, Jannik (@jroessler), Mohamed (@ibraaaa), and Leo (@lleiou). Thanks for the contribution!
Major Updates
- Make tensorflow dependency optional and add python 3.9 support by @jeongyoonlee (#343)
- Add delta-delta-p (ddp) tree inference approach by @jroessler (#327)
- Add conda env files for Python 3.6, 3.7, and 3.8 by @jeongyoonlee (#324)
Minor Updates
- Fix inconsistent feature importance calculation in uplift tree by @paullo0106 (#372)
- Fix filter method failure with NaNs in the data issue by @manojbalaji1 (#367)
- Add automatic package publish by @jeongyoonlee (#354)
- Fix typo in unit_selection optimization by @jeongyoonlee (#347)
- Fix docs build failure by @jeongyoonlee (#335)
- Convert pandas inputs to numpy in S/T/R Learners by @jeongyoonlee (#333)
- Require scikit-learn as a dependency of setup.py by @ibraaaa (#325)
- Fix AttributeError when passing in Outcome and Effect learner to R-Learner by @paullo0106 (#320)
- Fix error when there is no positive class for KL Divergence filter by @lleiou (#311)
- Add versions to cython and numpy in setup.py for requirements.txt accordingly by @maccam912 (#306)