Release Notes: The dependency on scipy.weave was removed. The namespace was made flatter. K-means was made faster. Affinity propagation was borrowed from scikits-learn and slightly improved. pdist() was added.
Release Notes: The most important change is the inclusion of eigen in the source distribution, which makes milk easier to compile. In addition, this release adds subspace projection k-nearest neighbours and mds_dists functionality.
Release Notes: This release adds coordinate descent-based LASSO and makes SVM classification much faster (a 2.5x speedup on the yeast UCI dataset).
Release Notes: This release fixes a bug in adaboost and adds a few extra small functions such as zscoring on multiple axes, Euclidean multi-dimensional scaling, and tree-based multi-class learning.
Release Notes: Interfaces are more consistent (learners ignore arguments they cannot use and the default model supports the apply_many method). There are many improvements and bugfixes.
Release Notes: An important bug that slipped into 0.4.0 was fixed. This bug meant that the new implementation of gridsearch could potentially return the wrong result.