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Maximum margin Interval Trees

License: GPL v3 Build Status

Regression trees for interval censored output data

Drouin, A., Hocking, T. D. & Laviolette, F. (2017). Maximum Margin Interval Trees. Under review.

Python package installation and usage

The source code of the mmit Python package is located in the mmit sub-directory, and can be installed via the following command.

python setup.py install

The package includes a scikit-learn style class to learn Maximum Margin Interval Trees.

R package installation and usage

The source code of the mmit R package is located in the Rpackage sub-directory, and can be installed via the following R commands.

if(!require(devtools))install.package("devtools")
devtools::install_github("aldro61/mmit/Rpackage")

The package currently provides an interface for the dynamic programming algorithm used to train Maximum Margin Interval Trees. Support for learning trees in R will be implemented in the near future.

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Regression trees for interval censored output data

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