Causalml

New Contributors
* lee-junseok made their first contribution in https://github.com/uber/causalml/pull/748
* IanDelbridge made their first contribution in https://github.com/uber/causalml/pull/756

**Full Changelog**: https://github.com/uber/causalml/compare/v0.15.0...v0.15.1

* Remove maq git+pip dependency by erikcs in https://github.com/uber/causalml/pull/739

New Contributors
* peterloleungyau made their first contribution in https://github.com/uber/causalml/pull/695
* SuperBo made their first contribution in https://github.com/uber/causalml/pull/700
* ZiJiaW made their first contribution in https://github.com/uber/causalml/pull/714
* erikcs made their first contribution in https://github.com/uber/causalml/pull/739

**Full Changelog**: https://github.com/uber/causalml/compare/v0.14.1...v0.15.0

New Contributors
* bsaunders27 made their first contribution in https://github.com/uber/causalml/pull/641
* xhulianoThe1 made their first contribution in https://github.com/uber/causalml/pull/634
* zpppy made their first contribution in https://github.com/uber/causalml/pull/614
* bsaunders23 made their first contribution in https://github.com/uber/causalml/pull/656

**Full Changelog**: https://github.com/uber/causalml/compare/v0.14.0...v0.14.1

* CausalML surpassed [2MM downloads](https://pepy.tech/project/causalml) on PyPI and [4,100 stars](https://github.com/uber/causalml/stargazers) 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 https://github.com/uber/causalml/pull/545
* Add pyproject.toml with basic build dependencies for PEP518 compliance by darthtrevino in https://github.com/uber/causalml/pull/553
* bump numpy==1.23.2 in environment-py38.yml 338 by ras44 in https://github.com/uber/causalml/pull/550
* CausalTree split criterions fix and fit optimization by alexander-pv in https://github.com/uber/causalml/pull/557
* fixing math notations for proper rendering by AbhishekVermaDH in https://github.com/uber/causalml/pull/558
* Update methodology.rst by joel-mcmurry in https://github.com/uber/causalml/pull/568
* Causal trees bootstrapping and `max_leaf_nodes` fixes with minor update by alexander-pv in https://github.com/uber/causalml/pull/583
* Fix 596 by AlxClt in https://github.com/uber/causalml/pull/597
* Add **kwargs to Explainer.plot_shap_values() by jeongyoonlee in https://github.com/uber/causalml/pull/603
* Make the Adam optimization optional and learning rate/epochs configurable in DragonNet by jeongyoonlee in https://github.com/uber/causalml/pull/604
* Fix bug in variance calculation in drivlearner. by huigangchen in https://github.com/uber/causalml/pull/606
* Bug Fix in Dragonnet: Adam parameter name lr depreciation by huigangchen in https://github.com/uber/causalml/pull/617
* Fix AttributeError in builds with numpy>=1.24 and pandas>=2.0 by jeongyoonlee in https://github.com/uber/causalml/pull/631
* Pass on **kwargs in `plot_shap_values` of base meta leaner by kklein in https://github.com/uber/causalml/pull/627
* Bump scipy from 1.4.1 to 1.10.0 by dependabot in https://github.com/uber/causalml/pull/629
* Feature/ttest criterion by volico in https://github.com/uber/causalml/pull/570
* Added Interaction Tree (IT), Causal Inference Tree (CIT), and Invariant DDP (IDDP) by jroessler in https://github.com/uber/causalml/pull/562
* Causal trees option to return counterfactual outcomes by alexander-pv in https://github.com/uber/causalml/pull/623
* Up the version to 0.14 by jeongyoonlee in https://github.com/uber/causalml/pull/632

New Contributors
* darthtrevino made their first contribution in https://github.com/uber/causalml/pull/553
* ras44 made their first contribution in https://github.com/uber/causalml/pull/550
* AbhishekVermaDH made their first contribution in https://github.com/uber/causalml/pull/558
* joel-mcmurry made their first contribution in https://github.com/uber/causalml/pull/568
* AlxClt made their first contribution in https://github.com/uber/causalml/pull/597
* kklein made their first contribution in https://github.com/uber/causalml/pull/627
* volico made their first contribution in https://github.com/uber/causalml/pull/570

**Full Changelog**: https://github.com/uber/causalml/compare/v0.13.0...v0.14.0

* CausalML surpassed [1MM downloads](https://pepy.tech/project/causalml) on PyPI and [3,200 stars](https://github.com/uber/causalml/stargazers) on GitHub. Thanks for choosing CausalML and supporting us on GitHub.
* We have 7 new contributors saiwing-yeung, lixuan12315, aldenrogers, vincewu51, AlkanSte, enzoliao, and alexander-pv. Thanks for your contributions!
* alexander-pv revamped `CausalTreeRegressor` and added `CausalRandomForestRegressor` with more seamless integration with `scikit-learn`'s Cython tree module. He also added integration with `shap` for causal tree/ random forest interpretation. Please check out the [example notebook](https://github.com/uber/causalml/blob/master/examples/causal_trees_interpretation.ipynb).
* We dropped the support for Python 3.6 and removed its test workflow.

What's Changed
* Fix typo `(% -> $)` by saiwing-yeung in https://github.com/uber/causalml/pull/488
* Add function for calculating PNS bounds by t-tte in https://github.com/uber/causalml/pull/482
* Fix hard coding bug by t-tte in https://github.com/uber/causalml/pull/492
* Update README of `conda` install and instruction of maintain in conda-forge by ppstacy in https://github.com/uber/causalml/pull/485
* Update `examples.rst` by lixuan12315 in https://github.com/uber/causalml/pull/496
* Fix incorrect `effect_learner_objective` in `XGBRRegressor` by jeongyoonlee in https://github.com/uber/causalml/pull/504
* Fix Filter F doesn't work with latest `statsmodels`' F test f-value format by paullo0106 in https://github.com/uber/causalml/pull/505
* Exclude tests in `setup.py` by aldenrogers in https://github.com/uber/causalml/pull/508
* Enabling higher orders feature importance for F filter and LR filter by zhenyuz0500 in https://github.com/uber/causalml/pull/509
* Ate pretrain 0506 by vincewu51 in https://github.com/uber/causalml/pull/511
* Update `methodology.rst` by AlkanSte in https://github.com/uber/causalml/pull/518
* Fix the bug of incorrect result in qini for multiple models by enzoliao in https://github.com/uber/causalml/pull/520
* Test `get_qini()` by enzoliao in https://github.com/uber/causalml/pull/523
* Fixed typo in `uplift_trees_with_synthetic_data.ipynb` by jroessler in https://github.com/uber/causalml/pull/531
* Remove Python 3.6 test from workflows by jeongyoonlee in https://github.com/uber/causalml/pull/535
* Causal trees update by alexander-pv in https://github.com/uber/causalml/pull/522
* Causal trees interpretation example by alexander-pv in https://github.com/uber/causalml/pull/536

New Contributors
* saiwing-yeung made their first contribution in https://github.com/uber/causalml/pull/488
* lixuan12315 made their first contribution in https://github.com/uber/causalml/pull/496
* aldenrogers made their first contribution in https://github.com/uber/causalml/pull/508
* vincewu51 made their first contribution in https://github.com/uber/causalml/pull/511
* AlkanSte made their first contribution in https://github.com/uber/causalml/pull/518
* enzoliao made their first contribution in https://github.com/uber/causalml/pull/520
* alexander-pv made their first contribution in https://github.com/uber/causalml/pull/522

**Full Changelog**: https://github.com/uber/causalml/compare/v0.12.3...v0.13.0

This patch is to release a version without the constraint of Shap which can be used for conda-forge.

What's Changed
* Modify the requirement version of Shap by ppstacy in https://github.com/uber/causalml/pull/483


**Full Changelog**: https://github.com/uber/causalml/compare/v0.12.2...v0.12.3