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The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.

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Arborist Screens

Installation

  • Create venv: python3 -m venv venv
  • Activate venv: source venv/bin/activate
  • Select the correct Python intepreter (so that you install packages in the venv)
  • Install requirements: pip install -r requirements.txt
  • Check the installation: pip list

Usage

  • Activate venv: source venv/bin/activate
  • Change to the directory of the project: cd arborist
  • Run the program using briefcase: briefcase dev

Development

  • Activate venv: source venv/bin/activate
  • Change to the layouts directory: cd arborist/src/arborist/layouts
  • Building the layouts (run the following commands for the respective layouts):
    • pyside6-uic load.ui -o load.py
    • pyside6-uic train.ui -o train.py
    • pyside6-uic plot.ui -o plot.py
    • pyside6-uic predict.ui -o predict.py

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The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.

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