LibSVM is a C++ library that implements several Support Vector Machine algorithms that are commonly used in machine learning. It is a fast library that has no dependencies and most machine learning frameworks bind it in some way or another. LibSVM comes with a Python interface written in swig, but this interface is inherently slow […]

Yesterday we had an extremely productive coding sprint for the scikits.learn. The idea was to put people with common interests in a room and make them work in a single codebase.
Alexandre Gramfort and Olivier Grisel worked on GLMNet, Bertrand Thirion and Gaël Varoquaux worked on univariate feature selection and Vincent worked on Bayesian Regression.

I […]

Today I released the first public version of Scikit-Learn (release notes).
It’s a python module implementing some machine learning algorithms, and it’s shaping quite good. For this release I did not want to do any incompatible changes, so most of them are just bug fixes and updates.
For the next release, however, some more radical changes […]

This week we created a sourceforge project to host our development of scikit-learn. Although the project already had a directory in scipy’s repo, we needed more flexibility in the user management and in the mailing list creation, so we opted for SourceForge.
To be honest, after using git and Google Code for bug tracking, I was […]