Causalml Versions Save

Uplift modeling and causal inference with machine learning algorithms

v0.15.1

3 weeks ago

This release fixes the build failure on macOS and a few bugs in UpliftTreeClassifier.
We have two new contributors, @lee-junseok and @IanDelbridge. Thanks for your contributions!

What's Changed

Relax pandas version requirement by @jeongyoonlee in https://github.com/uber/causalml/pull/743
Remove undefined variables in match.__main__() by @jeongyoonlee in https://github.com/uber/causalml/pull/749
Fix distr_plot_single_sim() by @jeongyoonlee in https://github.com/uber/causalml/pull/750
Add with_std, with_counts to create_table_one by @lee-junseok in https://github.com/uber/causalml/pull/748
fix stratified sampling call by @IanDelbridge in https://github.com/uber/causalml/pull/756
20240207 honest leaf size by @IanDelbridge in https://github.com/uber/causalml/pull/753
757: add return_ci=True in sensitivity by @lee-junseok in https://github.com/uber/causalml/pull/758
Update sensitivity tests with more meta-learners by @jeongyoonlee in https://github.com/uber/causalml/pull/759
manually specify multiprocessing use fork in setup.py by @IanDelbridge in https://github.com/uber/causalml/pull/754
v0.15.1 release by @jeongyoonlee in https://github.com/uber/causalml/pull/760

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

v0.15.0

2 months ago

In this release, we revamped documentation, cleaned up dependencies, and improved installation - in addition to the long list of bug fixes.
We have four new contributors, @peterloleungyau, @SuperBo, @ZiJiaW, and @erikcs who submitted their first PRs to CausalML. Thanks for your contributions!

Updates

Update python-publish.yml by @jeongyoonlee in https://github.com/uber/causalml/pull/673
Add build.[os, tools.python] to .readthedocs.yml by @jeongyoonlee in https://github.com/uber/causalml/pull/676
Update notebook example with causal trees interpretation by @alexander-pv in https://github.com/uber/causalml/pull/683
Remove the numpy and pandas version restriction in pyproject.toml by @jeongyoonlee in https://github.com/uber/causalml/pull/681
Add governance documents by @jeongyoonlee in https://github.com/uber/causalml/pull/688
Update GOVERNANCE.md by @ras44 in https://github.com/uber/causalml/pull/691
Dev/governance docs to snake-case by @ras44 in https://github.com/uber/causalml/pull/693
Reduce sklearn dependency in causalml by @alexander-pv in https://github.com/uber/causalml/pull/686
Update MAINTAINERS.md by @jeongyoonlee in https://github.com/uber/causalml/pull/696
Modified to speed up UpliftTreeClassifier.growDecisionTreeFrom. by @peterloleungyau in https://github.com/uber/causalml/pull/695
Update README.md by @ras44 in https://github.com/uber/causalml/pull/698
Add notebook examples to docs by @jeongyoonlee in https://github.com/uber/causalml/pull/697
resolves change requests in #166 by @ras44 in https://github.com/uber/causalml/pull/701
Fix the readthedocs build error by @jeongyoonlee in https://github.com/uber/causalml/pull/702
Replace Stack and PriorityHeap with cpp stack/heap methods in trees by @SuperBo in https://github.com/uber/causalml/pull/700
Hotfix for #701 by @jeongyoonlee in https://github.com/uber/causalml/pull/705
Dev/699 win build fix by @ras44 in https://github.com/uber/causalml/pull/710
expose n_jobs for rlearner by @ZiJiaW in https://github.com/uber/causalml/pull/714
minimal fix to resolve #707 by @ras44 in https://github.com/uber/causalml/pull/720
Add Python 3.10, 3.11, 3.12 to the testing by @cclauss in https://github.com/uber/causalml/pull/454
Remove Python 3.12 from the build tests in python-test.yaml by @jeongyoonlee in https://github.com/uber/causalml/pull/726
fix plot_std_diffs, add bal_tol, condense to one plot by @ras44 in https://github.com/uber/causalml/pull/723
Dev/677 documentation by @ras44 in https://github.com/uber/causalml/pull/725
documentation updates by @ras44 in https://github.com/uber/causalml/pull/728
resolves #730, docs clean conda install by @ras44 in https://github.com/uber/causalml/pull/731
minimal wrapper of MAQ #662 by @ras44 in https://github.com/uber/causalml/pull/729
Temporary fix for causal trees missing values support #733 by @alexander-pv in https://github.com/uber/causalml/pull/734
resolves #639, credit due to Dong Liu by @ras44 in https://github.com/uber/causalml/pull/722
v0.15.0 release by @jeongyoonlee in https://github.com/uber/causalml/pull/737
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

v0.14.1

8 months ago

This release mainly addressed installation issues and updated documentation accordingly.
We have 4 new contributors. @bsaunders27, @xhulianoThe1, @zpppy, and @bsaunders23. Thanks for your contributions!

What's Changed

Update the python-publish workflow file to fix the package publish Gi… by @jeongyoonlee in https://github.com/uber/causalml/pull/633
Update Cython dependency by @alexander-pv in https://github.com/uber/causalml/pull/640
Fix for builds on Mac M1 infrastructure by @bsaunders27 in https://github.com/uber/causalml/pull/641
code cleanups by @xhulianoThe1 in https://github.com/uber/causalml/pull/634
support valid error early stopping by @zpppy in https://github.com/uber/causalml/pull/614
Revert "support valid error early stopping" by @jeongyoonlee in https://github.com/uber/causalml/pull/645
"support valid error early stopping" by @zpppy in https://github.com/uber/causalml/pull/648
fix: update to envs/ conda build for precompiled M1 installs by @bsaunders27 in https://github.com/uber/causalml/pull/646
Installation updates to README and .github/workflows by @ras44 in https://github.com/uber/causalml/pull/637
fix: simulate_randomized_trial by @bsaunders23 in https://github.com/uber/causalml/pull/656
issue 252 by @vincewu51 in https://github.com/uber/causalml/pull/660
ras44/651 graph viz, resolves #651 by @ras44 in https://github.com/uber/causalml/pull/661
linted with black by @ras44 in https://github.com/uber/causalml/pull/663
Fix issue 650 by @vincewu51 in https://github.com/uber/causalml/pull/659
Install graphviz in the workflow builds by @jeongyoonlee in https://github.com/uber/causalml/pull/668
Update docs/installation.rst by @jeongyoonlee in https://github.com/uber/causalml/pull/667
Schedule monthly PyPI install tests by @jeongyoonlee in https://github.com/uber/causalml/pull/670
v0.14.1 release by @jeongyoonlee in https://github.com/uber/causalml/pull/672

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

v0.14.0

10 months ago

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 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

v0.13.0

1 year ago

CausalML surpassed 1MM downloads on PyPI and 3,200 stars 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.
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

v0.12.3

2 years ago

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

v0.12.2

2 years ago

This patch includes three updates by our latest contributors, @tonkolviktor and @heiderich. We also start using black, a Python formatter. Please check out the updated contribution guideline to learn how to use it.

What's Changed

Opens up scipy dependency version range towards newer releases (#441) by @tonkolviktor in https://github.com/uber/causalml/pull/473
Merely define preferred backend for joblib instead of hard-coding it by @heiderich in https://github.com/uber/causalml/pull/476
Allow parallel prediction and make joblib's backend configurable for UpliftRandomForestClassifier by @heiderich in https://github.com/uber/causalml/pull/477
Reformat code using black by @jeongyoonlee in https://github.com/uber/causalml/pull/474

New Contributors

@tonkolviktor made their first contribution in https://github.com/uber/causalml/pull/473
@heiderich made their first contribution in https://github.com/uber/causalml/pull/476

Full Changelog: https://github.com/uber/causalml/compare/v0.12.1...v0.12.2

v0.12.1

2 years ago

This patch includes two bug fixes for UpliftRandomForestClassifier as follows:

#462 by @paullo0106: Use the correct treatment_idx for fillTree() when applying validation data set
#468 by @jeongyoonlee: Switch the joblib backend for UpliftRandomForestClassifier to threading to avoid memory copy across trees

v0.12.0

2 years ago

0.12.0 (Jan 2022)

CausalML surpassed 637K downloads on PyPI and 2,500 stars on Github!
We have 4 new community contributors, Luis (@lgmoneda ), Ravi (@raviksharma), Louis (@LouisHernandez17) and JackRab (@JackRab). Thanks for the contribution!
We refactored and speeded up UpliftTreeClassifier/UpliftRandomForestClassifier by 5x with Cython (#422 #440 by @jeongyoonlee)
We revamped our API documentation, it now includes the latest methodology, references, installation, notebook examples, and graphs! (#413 by @huigangchen @t-tte @zhenyuz0500 @jeongyoonlee @paullo0106)
Our team gave talks at 2021 Conference on Digital Experimentation @ MIT (CODE@MIT), Causal Data Science Meeting 2021, and KDD 2021 Tutorials on CausalML introduction and applications. Please take a look if you missed them! Full list of publications and talks can be found here.

Updates

Update documentation on Instrument Variable methods @huigangchen (#447)
Add benchmark simulation studies example notebook by @t-tte (#443)
Add sample_weight support for R-learner by @paullo0106 (#425)
Fix incorrect binning of numeric features in UpliftTreeClassifier by @jeongyoonlee (#420)
Update papers, talks, and publication info to README and refs.bib by @zhenyuz0500 (#410 #414 #433)
Add instruction for contributing.md doc by @jeongyoonlee (#408)
Fix incorrect feature importance calculation logic by @paullo0106 (#406)
Add parallel jobs support for NearestNeighbors search with n_jobs parameter by @paullo0106 (#389)
Fix bug in simulate_randomized_trial by @jroessler (#385)
Add GA pytest workflow by @ppstacy (#380)

v0.11.1

2 years ago