max tokens
├── .github
├── .stale.yml
├── ISSUE_TEMPLATE
│ ├── bug_report.md
│ └── feature_request.md
├── PULL_REQUEST_TEMPLATE.md
└── workflows
│ ├── black.yml
│ ├── python-publish.yml
│ ├── python-test.yaml
│ ├── test-build-from-source.yml
│ └── test-pypi-install.yml
├── .gitignore
├── .pre-commit-config.yaml
├── .readthedocs.yml
├── ANTITRUST.md
├── CHARTER.md
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── GOVERNANCE.md
├── LICENSE
├── MAINTAINERS.md
├── MANIFEST.in
├── Makefile
├── README.md
├── SECURITY.md
├── STEERING_COMMITTEE.md
├── TRADEMARKS.md
├── causalml
├── __init__.py
├── dataset
│ ├── __init__.py
│ ├── classification.py
│ ├── regression.py
│ ├── semiSynthetic.py
│ └── synthetic.py
├── feature_selection
│ ├── __init__.py
│ └── filters.py
├── features.py
├── inference
│ ├── __init__.py
│ ├── iv
│ │ ├── __init__.py
│ │ ├── drivlearner.py
│ │ └── iv_regression.py
│ ├── meta
│ │ ├── __init__.py
│ │ ├── base.py
│ │ ├── drlearner.py
│ │ ├── explainer.py
│ │ ├── rlearner.py
│ │ ├── slearner.py
│ │ ├── tlearner.py
│ │ ├── tmle.py
│ │ ├── utils.py
│ │ └── xlearner.py
│ ├── tf
│ │ ├── __init__.py
│ │ ├── dragonnet.py
│ │ └── utils.py
│ ├── torch
│ │ ├── __init__.py
│ │ └── cevae.py
│ └── tree
│ │ ├── __init__.py
│ │ ├── _tree
│ │ ├── __init__.py
│ │ ├── _classes.py
│ │ ├── _criterion.pxd
│ │ ├── _criterion.pyx
│ │ ├── _splitter.pxd
│ │ ├── _splitter.pyx
│ │ ├── _tree.pxd
│ │ ├── _tree.pyx
│ │ ├── _typedefs.pxd
│ │ ├── _typedefs.pyx
│ │ ├── _utils.pxd
│ │ └── _utils.pyx
│ │ ├── causal
│ │ ├── __init__.py
│ │ ├── _builder.pxd
│ │ ├── _builder.pyx
│ │ ├── _criterion.pxd
│ │ ├── _criterion.pyx
│ │ ├── _tree.py
│ │ ├── causalforest.py
│ │ └── causaltree.py
│ │ ├── plot.py
│ │ ├── uplift.pyx
│ │ └── utils.py
├── match.py
├── metrics
│ ├── __init__.py
│ ├── classification.py
│ ├── const.py
│ ├── regression.py
│ ├── sensitivity.py
│ └── visualize.py
├── optimize
│ ├── __init__.py
│ ├── pns.py
│ ├── policylearner.py
│ ├── unit_selection.py
│ ├── utils.py
│ └── value_optimization.py
└── propensity.py
├── docs
├── Makefile
├── _static
│ └── img
│ │ ├── auuc_table_vis.png
│ │ ├── auuc_vis.png
│ │ ├── counterfactual_value_optimization.png
│ │ ├── logo
│ │ ├── android-chrome-192x192.png
│ │ ├── android-chrome-512x512.png
│ │ ├── apple-touch-icon.png
│ │ ├── causalml_logo.png
│ │ ├── causalml_logo.svg
│ │ ├── causalml_logo_square.png
│ │ ├── causalml_logo_square_transparent.png
│ │ ├── causalml_logo_transparent.png
│ │ ├── favicon-16x16.png
│ │ ├── favicon-32x32.png
│ │ └── favicon.ico
│ │ ├── meta_feature_imp_vis.png
│ │ ├── meta_shap_dependence_vis.png
│ │ ├── meta_shap_vis.png
│ │ ├── sensitivity_selection_bias_r2.png
│ │ ├── shap_vis.png
│ │ ├── synthetic_dgp_bar_plot_multiple.png
│ │ ├── synthetic_dgp_scatter_plot.png
│ │ ├── synthetic_dgp_scatter_plot_multiple.png
│ │ ├── uplift_tree_feature_imp_vis.png
│ │ └── uplift_tree_vis.png
├── about.rst
├── causalml.rst
├── changelog.rst
├── conf.py
├── environment-py39-rtd.yml
├── examples.rst
├── examples
│ ├── benchmark_semi_synthetic_simulation_studies.ipynb
│ ├── benchmark_simulation_studies.ipynb
│ ├── binary_policy_learner_example.ipynb
│ ├── calibration.ipynb
│ ├── causal_trees_interpretation.ipynb
│ ├── causal_trees_with_synthetic_data.ipynb
│ ├── causal_trees_with_synthetic_data_multiple_treatment_groups.ipynb
│ ├── cevae_example.ipynb
│ ├── counterfactual_unit_selection.ipynb
│ ├── counterfactual_value_optimization.ipynb
│ ├── data
│ │ ├── card.csv
│ │ ├── ihdp_npci_1.csv
│ │ ├── ihdp_npci_2.csv
│ │ ├── ihdp_npci_3.csv
│ │ ├── ihdp_npci_4.csv
│ │ ├── ihdp_npci_5.csv
│ │ ├── ihdp_npci_6.csv
│ │ ├── ihdp_npci_7.csv
│ │ ├── ihdp_npci_8.csv
│ │ └── ihdp_npci_9.csv
│ ├── dr_learner_with_synthetic_data.ipynb
│ ├── dragonnet_example.ipynb
│ ├── feature_interpretations_example.ipynb
│ ├── feature_selection.ipynb
│ ├── iv_nlsym_synthetic_data.ipynb
│ ├── logistic_regression_based_data_generation_for_uplift_classification.ipynb
│ ├── meta_learners_with_synthetic_data.ipynb
│ ├── meta_learners_with_synthetic_data_multiple_treatment.ipynb
│ ├── necessary_and_sufficient.ipynb
│ ├── qini_curves_for_costly_treatment_arms.ipynb
│ ├── sensitivity_example_with_synthetic_data.ipynb
│ ├── uplift_tree_visualization.ipynb
│ ├── uplift_trees_with_synthetic_data.ipynb
│ └── validation_with_tmle.ipynb
├── index.rst
├── installation.rst
├── interpretation.rst
├── methodology.rst
├── quickstart.rst
├── references.rst
├── refs.bib
├── requirements.txt
└── validation.rst
├── pyproject.toml
├── setup.cfg
├── setup.py
├── tests
├── __init__.py
├── conftest.py
├── const.py
├── test_causal_trees.py
├── test_cevae.py
├── test_counterfactual_unit_selection.py
├── test_datasets.py
├── test_dragonnet.py
├── test_feature_selection.py
├── test_features.py
├── test_ivlearner.py
├── test_match.py
├── test_meta_learners.py
├── test_metrics.py
├── test_propensity.py
├── test_sensitivity.py
├── test_uplift_trees.py
├── test_utils.py
├── test_value_optimization.py
└── test_visualize.py
└── tox.ini
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