Here's a good blog post by Sandy Ryza @ Cloudera on Spark + Time Series
Data:
http://blog.cloudera.com/blog/2015/12/spark-ts-a-new-library-for-analyzing-time-series-data-with-apache-spark/

Might give you some things to try.

On Thu, Jan 7, 2016 at 11:40 PM, dEEPU <[email protected]> wrote:

> Maybe u want to convert the date to a duration in form of number of
> hours/days and then do calculation on it
> On Jan 8, 2016 12:39 AM, Jorge Machado <[email protected]>
> wrote:
> Hello all,
>
> I'm new to machine learning. I'm trying to predict some electric usage
> with a decision  Free
> The data is :
> 2015-12-10-10:00, 1200
> 2015-12-11-10:00, 1150
>
> My question is : What is the best way to turn date and time into feature
> on my Vector ?
>
> Something like this :  Vector (1200, [2015,12,10,10,10] )?
> I could not fine any example with value prediction where features had
> dates in it.
>
> Thanks
>
> Jorge Machado
>
> Jorge Machado
> [email protected]
>
>
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-- 

*Chris Fregly*
Principal Data Solutions Engineer
IBM Spark Technology Center, San Francisco, CA
http://spark.tc | http://advancedspark.com

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