[
https://issues.apache.org/jira/browse/SPARK-5874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14940702#comment-14940702
]
Yongjia Wang commented on SPARK-5874:
-------------------------------------
The functionality about force save/load all pipeline components is very
important. In the design doc, it says to do this in 1.4 for the new
Transformer/Estimator framework under the .ml package. We are at 1.5.0 right
now, nothing happened on that path. I wonder if there was some major conceptual
changes or just workload/resource issue.
> How to improve the current ML pipeline API?
> -------------------------------------------
>
> Key: SPARK-5874
> URL: https://issues.apache.org/jira/browse/SPARK-5874
> Project: Spark
> Issue Type: Brainstorming
> Components: ML
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Critical
>
> I created this JIRA to collect feedbacks about the ML pipeline API we
> introduced in Spark 1.2. The target is to graduate this set of APIs in 1.4
> with confidence, which requires valuable input from the community. I'll
> create sub-tasks for each major issue.
> Design doc (WIP):
> https://docs.google.com/a/databricks.com/document/d/1plFBPJY_PriPTuMiFYLSm7fQgD1FieP4wt3oMVKMGcc/edit#
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
