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3 | 3 | Changelog
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4 | 4 | =========
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5 | 5 |
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| 6 | +0.14.0 (July 2023) |
| 7 | +----------------- |
| 8 | +- 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. |
| 9 | +- We have 7 new contributors: @darthtrevino, @ras44, @AbhishekVermaDH, @joel-mcmurry, @AlxClt, @kklein, and @volico. Thanks for your contributions! |
| 10 | + |
| 11 | +Updates |
| 12 | +~~~~~~~~~~~~~ |
| 13 | +- Fix the readthedocs build failure by @jeongyoonlee in https://github.com/uber/causalml/pull/545 |
| 14 | +- Add pyproject.toml with basic build dependencies for PEP518 compliance by @darthtrevino in https://github.com/uber/causalml/pull/553 |
| 15 | +- bump numpy from 1.20.3 to 1.23.2 in environment-py38.yml #338 by @ras44 in https://github.com/uber/causalml/pull/550 |
| 16 | +- CausalTree split criterions fix and fit optimization by @alexander-pv in https://github.com/uber/causalml/pull/557 |
| 17 | +- fixing math notations for proper rendering by @AbhishekVermaDH in https://github.com/uber/causalml/pull/558 |
| 18 | +- Update methodology.rst by @joel-mcmurry in https://github.com/uber/causalml/pull/568 |
| 19 | +- Causal trees bootstrapping and `max_leaf_nodes` fixes with minor update by @alexander-pv in https://github.com/uber/causalml/pull/583 |
| 20 | +- Fix #596 by @AlxClt in https://github.com/uber/causalml/pull/597 |
| 21 | +- Add **kwargs to Explainer.plot_shap_values() by @jeongyoonlee in https://github.com/uber/causalml/pull/603 |
| 22 | +- Make the Adam optimization optional and learning rate/epochs configurable in DragonNet by @jeongyoonlee in https://github.com/uber/causalml/pull/604 |
| 23 | +- Fix bug in variance calculation in drivlearner. by @huigangchen in https://github.com/uber/causalml/pull/606 |
| 24 | +- Bug Fix in Dragonnet: Adam parameter name lr depreciation by @huigangchen in https://github.com/uber/causalml/pull/617 |
| 25 | +- Fix AttributeError in builds with numpy>=1.24 and pandas>=2.0 by @jeongyoonlee in https://github.com/uber/causalml/pull/631 |
| 26 | +- Pass on **kwargs in `plot_shap_values` of base meta leaner by @kklein in https://github.com/uber/causalml/pull/627 |
| 27 | +- Bump scipy from 1.4.1 to 1.10.0 by @dependabot in https://github.com/uber/causalml/pull/629 |
| 28 | +- Feature/ttest criterion by @volico in https://github.com/uber/causalml/pull/570 |
| 29 | +- Added Interaction Tree (IT), Causal Inference Tree (CIT), and Invariant DDP (IDDP) by @jroessler in https://github.com/uber/causalml/pull/562 |
| 30 | +- Causal trees option to return counterfactual outcomes by @alexander-pv in https://github.com/uber/causalml/pull/623 |
| 31 | +
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| 32 | +New contributors |
| 33 | +~~~~~~~~~~~~~~~~ |
| 34 | +- @darthtrevino made their first contribution in https://github.com/uber/causalml/pull/553 |
| 35 | +- @ras44 made their first contribution in https://github.com/uber/causalml/pull/550 |
| 36 | +- @AbhishekVermaDH made their first contribution in https://github.com/uber/causalml/pull/558 |
| 37 | +- @joel-mcmurry made their first contribution in https://github.com/uber/causalml/pull/568 |
| 38 | +- @AlxClt made their first contribution in https://github.com/uber/causalml/pull/597 |
| 39 | +- @kklein made their first contribution in https://github.com/uber/causalml/pull/627 |
| 40 | +- @volico made their first contribution in https://github.com/uber/causalml/pull/570 |
| 41 | + |
| 42 | + |
6 | 43 | 0.13.0 (Sep 2022)
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7 | 44 | -----------------
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8 | 45 | - 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.
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