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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/04/04 23:18:25 UTC
[jira] [Issue Comment Deleted] (SPARK-4591) Algorithm/model parity
in spark.ml (Scala)
[ https://issues.apache.org/jira/browse/SPARK-4591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-4591:
-------------------------------------
Comment: was deleted
(was: I created subtasks for reviewing the major algorithm classes. We can later decide how to handle the following items.
User-facing:
* Streaming ML (to be done under structured streaming in the 2.x line)
* evaluation
* fpm
* pmml
* stat
Developer-facing:
* optimization
* random, rdd
* util
Note that linalg is being handled separately: [SPARK-13944])
> 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.
> Subtasks cover major algorithm groups. To pick up a review subtask, please:
> * Comment that you are working on it.
> * Compare the public APIs of spark.ml vs. spark.mllib.
> * Comment on all missing items within spark.ml: algorithms, models, methods, features, etc.
> * Check for existing JIRAs covering those items. If there is no existing JIRA, create one, and link it to your comment.
> This does *not* include:
> * Python: We can compare Scala vs. Python in spark.ml itself.
> * single-Row prediction: [SPARK-10413]
> Also, this does not include the following items:
> * User-facing:
> ** Streaming ML (to be done under structured streaming in the 2.x line)
> ** evaluation
> ** fpm
> ** pmml
> ** stat
> ** linalg [SPARK-13944]
> * Developer-facing:
> ** optimization
> ** random, rdd
> ** util
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