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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/12/12 04:32:46 UTC
[jira] [Updated] (SPARK-4591) Algorithm/model parity in spark.ml
[ https://issues.apache.org/jira/browse/SPARK-4591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-4591:
-------------------------------------
Target Version/s: 2.0.0
Priority: Critical (was: Major)
Description:
This is an umbrella JIRA for porting spark.mllib implementations to use the DataFrame-based API defined under spark.ml. We want to achieve feature parity for the next release.
Create or link subtasks for:
* missing algorithms or models (However, this does NOT include stats or linear algebra; those will be handled separately.)
* existing algorithms or models which are missing features, params, etc.
_Note: Please search JIRA for existing issues to avoid duplicates._
was:This is an umbrella JIRA for porting spark.mllib implementations to adapt the new API defined under spark.ml.
Summary: Algorithm/model parity in spark.ml (was: Add algorithm/model wrappers in spark.ml to adapt the new API)
> Algorithm/model parity in spark.ml
> ----------------------------------
>
> Key: SPARK-4591
> URL: https://issues.apache.org/jira/browse/SPARK-4591
> Project: Spark
> Issue Type: Umbrella
> Components: ML
> Reporter: Xiangrui Meng
> Priority: Critical
>
> This is an umbrella JIRA for porting spark.mllib implementations to use the DataFrame-based API defined under spark.ml. We want to achieve feature parity for the next release.
> Create or link subtasks for:
> * missing algorithms or models (However, this does NOT include stats or linear algebra; those will be handled separately.)
> * existing algorithms or models which are missing features, params, etc.
> _Note: Please search JIRA for existing issues to avoid duplicates._
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