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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/02/10 20:04:42 UTC
[jira] [Commented] (SPARK-14523) Feature parity for Statistics ML
with MLlib
[ https://issues.apache.org/jira/browse/SPARK-14523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15861789#comment-15861789 ]
Joseph K. Bradley commented on SPARK-14523:
-------------------------------------------
I'd like to keep this open until we have linked tasks for the missing functionality.
[~hujiayin] This is for parity w.r.t. the RDD-based API, not for adding new functionality to MLlib. I think there's already a JIRA for ARIMA somewhere.
> Feature parity for Statistics ML with MLlib
> -------------------------------------------
>
> Key: SPARK-14523
> URL: https://issues.apache.org/jira/browse/SPARK-14523
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: yuhao yang
>
> Some statistics functions have been supported by DataFrame directly. Use this jira to discuss/design the statistics package in Spark.ML and its function scope. Hypothesis test and correlation computation may still need to expose independent interfaces.
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