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        "description": "# CTL\n\nChristopher Tran, Elena Zheleva, [\"Learning Triggers for Heterogeneous Treatment Effects\", AAAI 2019.](https://arxiv.org/pdf/1902.00087.pdf)\n\nOur method is based on and adapted from: https://github.com/susanathey/causalTree\n\n\n## Requirements\n* Python 3\n* sklearn\n* scipy\n* graphviz (if you want to plot the tree)\n\n## Installation\n\nthrough pip\n\n```bash\npip install causal_tree_learn\n```\n\nor clone the repository\n```bash\npython setup.py build_ext --inplace\n```\n\n## Demo Code\n\nTwo demo codes are available to run.\n\n```bash\npython binary_example.py\n```\nRuns the tree on a binary example (asthma.txt)\n\n```bash\npython trigger_example.py\n```\nRuns 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)\n\n\n",
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