[jira] [Commented] (SPARK-14380) Review spark.ml parity for clustering

2016-06-03 Thread Xinh Huynh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-14380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15314617#comment-15314617
 ] 

Xinh Huynh commented on SPARK-14380:


Existing algorithms
* KMeans
** Param: initial model, bypassing the random initialization or k-means|| 
(SPARK-10780)
** PMML (SPARK-11237)


> Review spark.ml parity for clustering
> -
>
> Key: SPARK-14380
> URL: https://issues.apache.org/jira/browse/SPARK-14380
> Project: Spark
>  Issue Type: Sub-task
>  Components: ML
>Reporter: Joseph K. Bradley
>
> Review parity of spark.ml vs. spark.mllib to ensure spark.ml contains all 
> functionality. List all missing items.
> This only covers Scala since we can compare Scala vs. Python in spark.ml 
> itself.



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[jira] [Commented] (SPARK-14380) Review spark.ml parity for clustering

2016-06-03 Thread Xinh Huynh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-14380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15314345#comment-15314345
 ] 

Xinh Huynh commented on SPARK-14380:


Completely missing algorithms
* Power Iteration Clustering (PIC): (will create new Jira issue)
* Streaming KMeans: (parent JIRA says to ignore streaming)

> Review spark.ml parity for clustering
> -
>
> Key: SPARK-14380
> URL: https://issues.apache.org/jira/browse/SPARK-14380
> Project: Spark
>  Issue Type: Sub-task
>  Components: ML
>Reporter: Joseph K. Bradley
>
> Review parity of spark.ml vs. spark.mllib to ensure spark.ml contains all 
> functionality. List all missing items.
> This only covers Scala since we can compare Scala vs. Python in spark.ml 
> itself.



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[jira] [Commented] (SPARK-14380) Review spark.ml parity for clustering

2016-06-03 Thread Xinh Huynh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-14380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15314288#comment-15314288
 ] 

Xinh Huynh commented on SPARK-14380:


I'll take a stab at this.

> Review spark.ml parity for clustering
> -
>
> Key: SPARK-14380
> URL: https://issues.apache.org/jira/browse/SPARK-14380
> Project: Spark
>  Issue Type: Sub-task
>  Components: ML
>Reporter: Joseph K. Bradley
>
> Review parity of spark.ml vs. spark.mllib to ensure spark.ml contains all 
> functionality. List all missing items.
> This only covers Scala since we can compare Scala vs. Python in spark.ml 
> itself.



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