A python imprecise probability classififer library
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
classifip
docs
examples
resources
.gitignore
CHANGELOG.rst
INSTALL.rst
LICENCE.txt
MANIFEST.in
README.rst
THANKS.rst
TODO.rst
setup.py

README.rst

classifip

The classifip project is a library of imprecise probabilistic classifiers.

The goal is to offer a simple-to-use framework to implement and use imprecise probabilistic classifiers.

The library accepts arff files as data sets format, so that WEKA files can be used directly.