Browsing All posts tagged under »scikits.learn«

SparsePCA in scikits.learn-git

July 19, 2011

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I am happy to announce that the Sparse PCA code has been reviewed and merged into the main scikits.learn repository. You can use it if you install the bleeding edge scikits.learn git version, by first downloading the source code as explained in the user’s guide, and then running python setup.py install. To see what code […]

K-Means for dictionary learning

July 10, 2011

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One of the simplest, and yet most heavily constrained form of matrix factorization, is vector quantization (VQ). Heavily used in image/video compression, the VQ problem is a factorization where (our dictionary) is called the codebook and is designed to cover the cloud of data points effectively, and each line of is a unit vector. This […]

My first scikits.learn coding sprint

April 2, 2011

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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.) This was a good opportunity for me to get code reviews by the developers in order to bring […]