Highlights for this release: * New stochastic gradient descent module by Peter Prettenhofer * Improved svm module: memory efficiency, automatic class weights. * Wrap for liblinear's Multi-class SVC (option multi_class in LinearSVC) * New features and performance improvements of text feature extraction. * Improved sparse matrix support, both in main classes (GridSearch) as in sparse modules: scikits.learn.svm.sparse and scikits.learn.glm.sparse. * Lots of cool new examples: (here1, here2 and here3) * New Gaussian Process module by Vincent Dubourg (still to be merged) * Faster implementation of the LARS algorithm. * Probability estimates for logistic regression. * Lots of bug fixes and documentation improvements. * Probably other things I am forgetting ...