I have been working on the integration into the scikits.learn codebase
of a sparse principal components analysis (SparsePCA) algorithm coded by
Gaël and Alexandre and based on [[1]][]. Because the name “sparse PCA”
has some inherent ambiguity, I will describe in greater depth what
problem we are actually solving …
Scikits.learn is a great general library, but machine learning has so
many different application, that it is often very helpful to be able to
extend its API to better integrate with your code. With scikits.learn,
this is extremely easy to do using inheritance and using the pipeline module …
The fifth scikits.learn coding sprint took place Friday, April 1st
2011. For anyone who is not familiar with it, scikits.learn is a fast
and easy to use machine learning toolkit for the pylab environment
(Python, NumPy, SciPy, Matplotlib.)