This program takes a decision tree trained in Matlab using TreeBagger or the classification tree function ClassificationTree and outputs the header file decTreeConstants.h containing all the branch information. This header file is used by the attached C++ class to make decisions based on presented features in deployed applications.
This is useful for deploying code developed in Matlab into embedded applications where Matlab is not available and no input files can be read.
The Matlab file extractDecTreeStruct.m takes as input a trained ClassificationTree tree or a TreeBagger classification ensemble, and outputs a header file, which is used by the C++ class DTree in DecisionTreeClass.hpp. DTree has one method decisionTreeFun, which takes as input a series of features and outputs the class (integer number).
For any comments or questions, please email firstname.lastname@example.org
The MIT License (MIT)
Copyright (c) 2014 Paul Kendrick
Copyright (c) 2016 David Hasenfratz
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