Welcome to Operalib’s documentation!¶
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 operator-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, and scipy as underlying libraries.
The project is developed by the AROBAS group of the IBISC laboratory of the University of Evry, France.
See the README for additional information.