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PythagoreanForest

version 1.3.1 (810 KB) by Charles M. Bélanger Nzakimuena
Display of learned decision tree models from Random Forest as Pythagoras trees
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Updated 31 May 2020

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PythagoreanForest is a MATLAB implementation of the Pythagorean Forest which displays learned decision tree models from Random Forest as Pythagoras trees.

The Pythagorean Forest is described in:

P. G. Poličar, "Pitagorejska drevesa za vizualizacijo klasifikacijskih in regresijskih dreves," Univerza v Ljubljani, 2016.

Cite As

Bélanger Nzakimuena, C. (2020). Automated Analysis of Retinal and Choroidal OCT and OCTA Images in AMD (Masters thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5234/

Comments and Ratings (1)

Alexandre Abid

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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subFunctions

subFunctions/Pythagor_tree/pythagorFunctions

subFunctions/Pythagor_tree/pythagorFunctions/ScreenCapture

subFunctions/Pythagor_tree/pythagorFunctions/darkBackground

subFunctions/random_forests_generic/random_forests_generic

subFunctions/rgb

subFunctions/vtshitoyan-plotConfMat-1787253

subFunctions/random_forests_generic/random_forests_generic