actually spark is available in python also, so users of spark are having an upper hand over users of traditional users of mahout. This is applicable to all the libraries of python (including numpy).
On Wed, Oct 22, 2014 at 3:54 AM, Ted Dunning <[email protected]> wrote: > On Tue, Oct 21, 2014 at 3:04 PM, Mahesh Balija <[email protected] > > > wrote: > > > I am trying to differentiate between Mahout and Spark, here is the small > > list, > > > > Features Mahout Spark Clustering Y Y Classification Y Y Regression Y > > Y Dimensionality Reduction Y Y Java Y Y Scala N Y Python N Y Numpy N > > Y Hadoop Y Y Text Mining Y N Scala/Spark Bindings Y N/A scalability Y > > Y > > > > Mahout doesn't actually have strong features for clustering, classification > and regression. Mahout is very strong in recommendations (which you don't > mention) and dimensionality reduction. > > Mahout does support scala in the development version. > > What do you mean by support for Numpy? >
