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All releases of Milk

  •  10 Feb 2011 14:31
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    Release Notes: Logistic regression was added. Demos are included in the source and documentation. Cluster agreement metrics were added. An nfoldcrossvalidation bug when using the origins parameter was fixed.

    •  17 Dec 2010 20:07
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      Release Notes: New features: unsupervised (1-class) kernel density modeling, a weights option to some learners, stump learner, and Adaboost. A fix for when SDA returns empty.

      •  04 Nov 2010 01:47
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        Release Notes: A fix was included for 64-bit machines. Functions in measures.py have a new interface.

        •  01 Nov 2010 01:55
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          Release Notes: Random forest learners were added. Decision trees were sped up by 20 times. Gridsearch is much faster since it finds an optimum without computing all folds.

          •  22 Oct 2010 20:50
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            Release Notes: A missing file that prevented installation was included.

            •  19 Oct 2010 22:52
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              Release Notes: The dependency on scipy was minimized. Self-organizing maps were added. An important bug was fixed in repeated_kmeans. Feature selection is faster.

              •  26 Sep 2010 23:45
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                Release Notes: This release fixes sparse non-negative matrix factorization. It has a mean grouped classifier, updates the multi-classifier to a newer interface, and has better testing and documentation.

                •  23 Sep 2010 23:25
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                  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.

                  •  14 Sep 2010 02:00
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                    Release Notes: Bugfixes, faster kmeans, and improvements to nfoldcrossvalidation.

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