My own thoughts are that logistic regression seems a more "generalized" and hence more useful algo to be factored in... At least in the use cases that I've been toying with.
So I'd like to help out with that if wanted... > On Feb 9, 2017, at 3:59 PM, Saikat Kanjilal <sxk1...@hotmail.com> wrote: > > Trevor et al, > > I'd like to contribute an algorithm or two in samsara using spark as I would > like to do a compare and contrast with mahout with R server for a data > science pipeline, machine learning repo that I'm working on, in looking at > the list of algorithms > (https://mahout.apache.org/users/basics/algorithms.html) is there an > algorithm for spark that would be beneficial for the community, my use cases > would typically be around clustering or real time machine learning for > building recommendations on the fly. The algorithms I see that could > potentially be useful are: 1) Matrix Factorization with ALS 2) Logistic > regression with SVD. > > Apache Mahout: Scalable machine learning and data > mining<https://mahout.apache.org/users/basics/algorithms.html> > mahout.apache.org > Mahout 0.12.0 Features by Engine¶ Single Machine MapReduce Spark H2O Flink; > Mahout Math-Scala Core Library and Scala DSL > > > > Any thoughts/guidance or recommendations would be very helpful. > Thanks in advance.
