Hello Jain,

I would recommend using Spark MLlib
<http://spark.apache.org/docs/latest/ml-guide.html>(and ML) of *Spark 2.1.0*
with the following features:

   - ML Algorithms: common learning algorithms such as classification,
   regression, clustering, and collaborative filtering
   - Featurization: feature extraction, transformation, dimensionality
   reduction, and selection
   - Pipelines: tools for constructing, evaluating, and tuning ML Pipelines
   - Persistence: saving and load algorithms, models, and Pipelines
   - Utilities: linear algebra, statistics, data handling, etc.

These features will help make your machine learning scalable and easy too.



Regards,
_________________________________
*Md. Rezaul Karim*, BSc, MSc
PhD Researcher, INSIGHT Centre for Data Analytics
National University of Ireland, Galway
IDA Business Park, Dangan, Galway, Ireland
Web: http://www.reza-analytics.eu/index.html
<http://139.59.184.114/index.html>

On 9 January 2017 at 10:19, Ankur Jain <ankur.j...@yash.com> wrote:

> Hi Team,
>
>
>
> I want to start a new project with ML. But wanted to know which version of
> Spark is much stable and have more features w.r.t ML
>
> Please suggest your opinion…
>
>
>
> Thanks in Advance…
>
>
>
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>
> *Thanks & Regards*
>
> Ankur Jain
>
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