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https://issues.apache.org/jira/browse/SPARK-4591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-4591:
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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.
This only covers Scala since we can compare Scala vs. Python in spark.ml itself.
_Note: Please search JIRA for existing issues to avoid duplicates._
was:
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._
> Algorithm/model parity in spark.ml (Scala)
> ------------------------------------------
>
> 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.
> This only covers Scala since we can compare Scala vs. Python in spark.ml
> itself.
> _Note: Please search JIRA for existing issues to avoid duplicates._
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