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A new version was just released: http://freshmeat.net/projects/milk/releases/329513 http://freshmeat.net/projects/milk/releases/329513 (I'm the author of this

• bravura 16y ago
  Could you please comment on why a Python machine learning developer should use your code and not, say, Shogun or scikits.learn? In what use cases would your code be preferable, or dispreferred? How does your k-means implementation compare to that of scipy's? Why not push your code as modules into scikits.learn? Their library is designed to be many loosely coupled components.
  • luispedro 16y ago
    Why would you use my code instead of others? None of the packages covers all of machine learning, so it depends on what you're looking for. I focus mainly on supervised learning and kmeans. I want my algorithms to be as scalable as possible too. Other projects have other priorities/functionality. I like my interfaces better too, but I might be biased by being so much more familiar with them. """How does your k-means implementation compare to that of scipy's?""" I think that my code is faster: http://bit.ly/e8VOXy http://bit.ly/e8VOXy and it is probably more scalable. Scikits.learn has more functionality in certain aspects. So, if you need those, use it. I started milk when there was no scikits.learn. The interfaces are different and they work together here.
    • sp332 16y ago
      That's http://packages.python.org/milk/benchmarks.html http://packages.python.org/milk/benchmarks.html if anyone was wondering