Release v0.14.0 · uber/causalml

CausalML surpassed 2MM downloads on PyPI and 4,100 stars on GitHub. Thanks for choosing CausalML and supporting us on GitHub.
We have 7 new contributors: @darthtrevino, @ras44, @AbhishekVermaDH, @joel-mcmurry, @AlxClt, @kklein, and @volico. Welcome to the CausalML development team, and thanks for your contributions!

What's Changed

Fix the readthedocs build failure by @jeongyoonlee in #545
Add pyproject.toml with basic build dependencies for PEP518 compliance by @darthtrevino in #553
bump numpy==1.23.2 in environment-py38.yml #338 by @ras44 in #550
CausalTree split criterions fix and fit optimization by @alexander-pv in #557
fixing math notations for proper rendering by @AbhishekVermaDH in #558
Update methodology.rst by @joel-mcmurry in #568
Causal trees bootstrapping and max_leaf_nodes fixes with minor update by @alexander-pv in #583
Fix #596 by @AlxClt in #597
Add **kwargs to Explainer.plot_shap_values() by @jeongyoonlee in #603
Make the Adam optimization optional and learning rate/epochs configurable in DragonNet by @jeongyoonlee in #604
Fix bug in variance calculation in drivlearner. by @huigangchen in #606
Bug Fix in Dragonnet: Adam parameter name lr depreciation by @huigangchen in #617
Fix AttributeError in builds with numpy>=1.24 and pandas>=2.0 by @jeongyoonlee in #631
Pass on **kwargs in plot_shap_values of base meta leaner by @kklein in #627
Bump scipy from 1.4.1 to 1.10.0 by @dependabot in #629
Feature/ttest criterion by @volico in #570
Added Interaction Tree (IT), Causal Inference Tree (CIT), and Invariant DDP (IDDP) by @jroessler in #562
Causal trees option to return counterfactual outcomes by @alexander-pv in #623
Up the version to 0.14 by @jeongyoonlee in #632

Full Changelog: v0.13.0...v0.14.0