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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/09/25 00:29:04 UTC
[jira] [Updated] (SPARK-10817) ML abstraction umbrella
[ https://issues.apache.org/jira/browse/SPARK-10817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-10817:
--------------------------------------
Description:
This is an umbrella for discussing and creating ML abstractions. This was originally handled under [SPARK-1856] and [SPARK-3702], under which we created the Pipelines API and some Developer APIs for classification and regression.
This umbrella is for future work, including:
* Stabilizing the classification and regression APIs
* Discussing traits vs. abstract classes for abstraction APIs
* Creating other abstractions not yet covered (clustering, multilabel prediction, etc.)
Note that [SPARK-3702] still has useful discussion and design docs.
was:
This is an umbrella for discussing and creating ML abstractions. This was originally handled under [SPARK-1856] and [SPARK-3702], under which we created the Pipelines API and some Developer APIs for classification and regression.
This umbrella is for future work, including:
* Stabilizing the classification and regression APIs
* Discussing traits vs. abstract classes for abstraction APIs
* Creating other abstractions not yet covered (clustering, multilabel prediction, etc.)
> ML abstraction umbrella
> -----------------------
>
> Key: SPARK-10817
> URL: https://issues.apache.org/jira/browse/SPARK-10817
> Project: Spark
> Issue Type: Umbrella
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
> Priority: Critical
>
> This is an umbrella for discussing and creating ML abstractions. This was originally handled under [SPARK-1856] and [SPARK-3702], under which we created the Pipelines API and some Developer APIs for classification and regression.
> This umbrella is for future work, including:
> * Stabilizing the classification and regression APIs
> * Discussing traits vs. abstract classes for abstraction APIs
> * Creating other abstractions not yet covered (clustering, multilabel prediction, etc.)
> Note that [SPARK-3702] still has useful discussion and design docs.
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