Re: Possible contribution to MLlib

I think it is valuable to make the distance function pluggable and also provide some builtin distance function. This might be also useful for other algorithms besides KMeans. On Tue, Jun 21, 2016 at 7:48 PM, Simon NANTY wrote: > Hi all, > > > > In my team, we are

Possible contribution to MLlib

Hi all, In my team, we are currently developing a fork of spark MLlib extending K-means method such that it is possible to set its own distance function. In this implementation, it could be possible to directly pass, in argument of the K-means train function, a distance function whose

Contribution to MLlib

Hi, I am interested in contributing a clustering algorithm towards MLlib of Spark.I am focusing on Gaussian Mixture Model. But I saw a JIRA @ https://spark-project.atlassian.net/browse/SPARK-952 regrading the same.I would like to know whether Gaussian Mixture Model is  already implemented or

Re: Contribution to MLlib

Hi Meethu, There is no code for a Gaussian Mixture Model clustering algorithm in the repository, but I don't know if anyone is working on it. RJ On Wednesday, July 9, 2014, MEETHU MATHEW meethu2...@yahoo.co.in wrote: Hi, I am interested in contributing a clustering algorithm towards MLlib

Re: Contribution to MLlib

I don't know if anyone is working on it either. If that JIRA is not moved to Apache JIRA, feel free to create a new one and make a note that you are working on it. Thanks! -Xiangrui On Wed, Jul 9, 2014 at 4:56 AM, RJ Nowling rnowl...@gmail.com wrote: Hi Meethu, There is no code for a Gaussian