[jira] [Commented] (SPARK-13223) Add stratified sampling to ML feature engineering

2017-07-24 Thread yuhao yang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-13223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16098933#comment-16098933
 ] 

yuhao yang commented on SPARK-13223:


Close it since it's been overlooked for some time and can be implemented with 
#17583 easily. 

> Add stratified sampling to ML feature engineering
> -
>
> Key: SPARK-13223
> URL: https://issues.apache.org/jira/browse/SPARK-13223
> Project: Spark
>  Issue Type: New Feature
>  Components: ML
>Reporter: yuhao yang
>Priority: Minor
>
> I found it useful to add an sampling transformer during a case of fraud 
> detection. It can be used in resampling or overSampling, which in turn is 
> required by ensemble and unbalanced data processing.
> Internally, it invoke the sampleByKey in Pair RDD operation.



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[jira] [Commented] (SPARK-13223) Add stratified sampling to ML feature engineering

2016-02-06 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-13223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15135689#comment-15135689
 ] 

Apache Spark commented on SPARK-13223:
--

User 'hhbyyh' has created a pull request for this issue:
https://github.com/apache/spark/pull/11102

> Add stratified sampling to ML feature engineering
> -
>
> Key: SPARK-13223
> URL: https://issues.apache.org/jira/browse/SPARK-13223
> Project: Spark
>  Issue Type: New Feature
>  Components: ML
>Reporter: yuhao yang
>Priority: Minor
>
> I found it useful to add an sampling transformer during a case of fraud 
> detection. It can be used in resampling or overSampling, which in turn is 
> required by ensemble and unbalanced data processing.
> Internally, it invoke the sampleByKey in Pair RDD operation.



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