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Uplift modeling and causal inference with machine learning algorithms
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201
commits
80
commits
60
commits
45
commits
45
commits
23
commits
22
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commits
20
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18
commits
Add Rank-weighted Average Treatment Effect (RATE) metric (#887)
1c555cfView on GitHubFix UpliftRandomForest predict shape mismatch with multiple treatments (#569) (#884)
c043043View on GitHubFix uplift tree p-value NaN from division by zero (#585) (#882)
490e35cView on GitHubFix CausalRandomForestRegressor predicting inf from division by zero (#589) (#883)
7975c30View on GitHubSupport NaN values in UpliftTree and UpliftRandomForest (#860)
123cc1fView on GitHubAdd input validation to auuc_score for missing model columns (#858) (#881)
c65fb9cView on GitHubFix SensitivityPlaceboTreatment ignoring actual treatment groups (#491) (#880)
07334eaView on GitHubFix seed parameter TypeError in BaseDRLearner bootstrap CI (#857) (#879)
b55f475View on GitHubFix ValueError on read-only arrays in BaseSLearner.predict() (#878)
1e52a33View on GitHubMake xgboost optional in synthetic dataset generation (#872)
b4c76ddView on GitHubUpgrade GitHub Actions for Node 24 compatibility (#874)
2e54c06View on GitHubremove pypi api token in favor of the trusted publishing (#871)
4100510View on GitHubRelease v0.16.0: Upgrade to manylinux_2_28 and remove scipy version constraints (#869)
db11de2View on GitHub