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Description

SmartSVM is a Python package that implements the methods from Fast Meta-Learning for Adaptive Hierarchical Classifier Design by Gerrit J.J. van den Burg and Alfred O. Hero. The package contains functions for estimating the Bayes error rate (BER) using the Henze-Penrose divergence and a hierarchical classifier called SmartSVM.

Repository

https://github.com/HeroResearchGroup/SmartSVM

Project Slug

smartsvm

Last Built

2 years, 4 months ago passed

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Home Page

https://github.com/HeroResearchGroup/SmartSVM

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Short URLs

smartsvm.readthedocs.io
smartsvm.rtfd.io

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latest

'latest' Version

master