Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

A python module for learnign with operator-valued kernels

Project description


PyPi Travis Codecov CircleCI Python27 Python35

Operalib is a library for structured learning and prediction for python based on operator-valued kernels (OVKs). OVKs are an extension of scalar kernels to matrix-valued kernels. The idea is to predict silmultaneously several targets while, for instance, encoding the output structure with the operator-valued kernel.

We aim at providing an easy-to-use standard implementation of operator-valued kernel methods. Operalib is designed for compatilibity to scikit-learn interface and conventions. It uses numpy, scipy and cvxopt as underlying libraries.

The project is developed by the AROBAS group of the IBISC laboratory of the University of Evry, France.


Is available at:


The package is available on PyPi, and the installation should be as simple as:

pip install operalib

This package uses distutils, which is the default way of installing python modules. To install in your home directory, use:

python install --user

To install for all users on Unix/Linux:

python build
sudo python install


You can check the latest sources with the command:

git clone

or through ssh, instead of https, if you have write privileges:

git clone


A non-exhaustive list of publications related to operator-valued kernel is available here:

Project details

Release history Release notifications

This version
History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
operalib-0.2b27.tar.gz (52.1 kB) Copy SHA256 hash SHA256 Source None Jan 15, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page