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Python implementation of causal trees with validation

Project description

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 details


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causal_tree_learn-2.42.tar.gz (124.4 kB view hashes)

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