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Posted to dev@spark.apache.org by Nick Pentreath <ni...@gmail.com> on 2013/08/16 13:08:18 UTC

Scikit-learn API paper

Quite interesting, and timely given current thinking around MLlib and MLI

http://orbi.ulg.ac.be/bitstream/2268/154357/1/paper.pdf

I do really like the way they have approached their API - and so far MLlib
seems to be following a (roughly) similar approach.

Interesting in particular they obviously go for mutable models instead of
the Estimator / Predictor interface MLlib currently has. Not sure which of
these is "best" really, they each have their pros & cons.

N

Re: Scikit-learn API paper

Posted by Matei Zaharia <ma...@gmail.com>.

Thanks for forwarding this! We had indeed looked at SciKit-learn for MLLib.

Matei

On Aug 16, 2013, at 4:08 AM, Nick Pentreath <ni...@gmail.com> wrote:

> Quite interesting, and timely given current thinking around MLlib and MLI
> 
> http://orbi.ulg.ac.be/bitstream/2268/154357/1/paper.pdf
> 
> I do really like the way they have approached their API - and so far MLlib
> seems to be following a (roughly) similar approach.
> 
> Interesting in particular they obviously go for mutable models instead of
> the Estimator / Predictor interface MLlib currently has. Not sure which of
> these is "best" really, they each have their pros & cons.
> 
> N