Welcome to scikit-lr documentation!¶
Scikit-lr is an open source Machine Learning library that supports Label Ranking problems. It also provides various tools for model fitting and evaluation, and many other utilities.
Getting started¶
This provides information to install and test the package, and to illustrate some of the main features that scikit-lr provides.
User Guide¶
This contains an in-depth description of all algorithms and how to apply them.
API Reference¶
This documents expected types and allowed features for all functions, and all parameters available for the algorithms.
Glossary¶
This represents the tacit and explicit conventions applied in scikit-lr and its API, while providing a reference for users and contributors.
Benchmarking¶
This contains benchmarking experiments for all algorithms in scikit-lr.
Release history¶
This provides the log of the scikit-lr history.
About us¶
Just to know about history of scikit-lr.