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Combination Robust Cut Forests

Project description

Combination Robust Cut Forests

CodeFactor PyPI version

Isolation Forests [Liu+2008] and Robust Random Cut Trees [Guha+2016] are very similar in many ways, as outlined in the supporting overview. Most notably, they are extremes of the same outlier scoring function:

equation

The combination robust cut forest allows you to combine both scores by using an theta other than 0 or 1.

Install

Download the repository and run python3 setup.py install or pip3 install .

The tests can be run from pytest with python3 setup.py test.

Tasks

  • [ ] complete basic implementation
  • [ ] fix documentation generation error
  • [ ] provide clear documentation and usage instructions
  • [ ] incorporate categorical variable support, including categorical rules
  • [ ] complete the write-up document with a benchmarking of performance

References

Project details


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