Versions
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
4 years, 10 months ago passed
Maintainers
Home Page
https://github.com/HeroResearchGroup/SmartSVM
Badge
Tags
Project has no tags.
Short URLs
smartsvm.readthedocs.io
smartsvm.rtfd.io
Default Version
latest
'latest' Version
master
