CTL

Christopher Tran, Elena Zheleva, "Learning Triggers for Heterogeneous Treatment Effects", AAAI 2019.

Our method is based on and adapted from: https://github.com/susanathey/causalTree

Requirements

  • Python 3
  • sklearn
  • scipy
  • graphviz (if you want to plot the tree)

Installation

through pip

pip install causal_tree_learn

or clone the repository

python setup.py build_ext --inplace

Demo Code

Two demo codes are available to run.

python binary_example.py

Runs the tree on a binary example (asthma.txt)

python trigger_example.py

Runs a tree on a trigger problem where the treatment is continuous (note for now the example is made up and treatment does not affect outcome, this is only to show example code)

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ChrisTran16 from gravatar.com ChrisTran16

Credits

Author: Christopher Tran

License

MIT License

Requires

Python >=3.6

Classifiers

Report project as malware

Release files for causal-tree-learn 2.43

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