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I am planning to evaluate spark for machine learning algorithm implementations. Usually the algorithms I implement are expressed as matrix operations.

I've 2 questions regarding that-

  1. Should algorithms be expressed as Matrix operations when implementing using Scala spark?
  2. If so, does Scala/Spark have good Matrix libraries

By matrix libraries I mean ... something as powerful as the C counterparts, BLAS, Armadillo etc.

Thanks! Ajay

1 Answer 1

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This will be covered by the MLbase project and the MLI API which will integrated in Spark. This is still in early stage but you can find an example of Linear Regression here.

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1 Comment

nice clean API, great to see this.

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