We can group a dataframe by one column like

df.groupBy(df.col("gender"))

It like split a dataframe to multiple dataframe. Currently, we can only
apply simple sql function to this GroupedData like agg, max etc.

What we want is apply one ML algorithm to each group.

Regards.



From:   Nirmal Fernando <nir...@wso2.com>
To:     Wen Pei Yu/China/IBM@IBMCN
Cc:     User <user@spark.apache.org>
Date:   08/23/2016 01:14 PM
Subject:        Re: Apply ML to grouped dataframe



Hi Wen,

AFAIK Spark MLlib implements its machine learning algorithms on top of
Spark dataframe API. What did you mean by a grouped dataframe?

On Tue, Aug 23, 2016 at 10:42 AM, Wen Pei Yu <yuw...@cn.ibm.com> wrote:
  Hi Nirmal

  I didn't get your point.
  Can you tell me more about how to use MLlib to grouped dataframe?

  Regards.
  Wenpei.

  Inactive hide details for Nirmal Fernando ---08/23/2016 10:26:36 AM---You
  can use Spark MLlib http://spark.apache.org/docs/lateNirmal Fernando
  ---08/23/2016 10:26:36 AM---You can use Spark MLlib
  http://spark.apache.org/docs/latest/ml-guide.html#announcement-dataframe-bas


  From: Nirmal Fernando <nir...@wso2.com>
  To: Wen Pei Yu/China/IBM@IBMCN
  Cc: User <user@spark.apache.org>
  Date: 08/23/2016 10:26 AM
  Subject: Re: Apply ML to grouped dataframe




  You can use Spark MLlib
  
http://spark.apache.org/docs/latest/ml-guide.html#announcement-dataframe-based-api-is-primary-api


  On Tue, Aug 23, 2016 at 7:34 AM, Wen Pei Yu <yuw...@cn.ibm.com> wrote:
        Hi

        We have a dataframe, then want group it and apply a ML algorithm or
        statistics(say t test) to each one. Is there any efficient way for
        this situation?

        Currently, we transfer to pyspark, use groupbykey and apply numpy
        function to array. But this wasn't an efficient way, right?

        Regards.
        Wenpei.




  --

  Thanks & regards,
  Nirmal

  Team Lead - WSO2 Machine Learner
  Associate Technical Lead - Data Technologies Team, WSO2 Inc.
  Mobile: +94715779733
  Blog: http://nirmalfdo.blogspot.com/








--

Thanks & regards,
Nirmal

Team Lead - WSO2 Machine Learner
Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/


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