is a library for creating, combining and using
kernels for machine learning applications. The current focus of library is on rational
kernels. It is based on the OpenFst library
This library is being developed by C. Allauzen
, M. Mohri
and A. Rostamizadeh
. It is intended to be comprehensive, flexible, efficient and scale well to large-scale problems. It is an open source project distributed under the Apache license
. This work has been partially supported by Google Inc.
New version coming soon. Will include algorithms for learning kernels and kernel ridge regression.