Re: Mllib Logistic Regression performance relative to Mahout

[Sonal Goyal <so...@gmail.com>]

You can also check if you are caching your input so that features are not
being read/computed every iteration.

Best Regards,
Sonal
Founder, Nube Technologies <http://www.nubetech.co>
Reifier at Strata Hadoop World <https://www.youtube.com/watch?v=eD3LkpPQIgM>
Reifier at Spark Summit 2015
<https://spark-summit.org/2015/events/real-time-fuzzy-matching-with-spark-and-elastic-search/>

<http://in.linkedin.com/in/sonalgoyal>



On Mon, Feb 29, 2016 at 1:02 PM, Yashwanth Kumar <ya...@tcs.com>
wrote:

> Hi,
> If your features are numeric, try feature scaling and feed it to Spark
> Logistic Regression, It might increase rate%
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Mllib-Logistic-Regression-performance-relative-to-Mahout-tp26346p26358.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
>
>