[
https://issues.apache.org/jira/browse/SPARK-15944?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Reynold Xin updated SPARK-15944:
--------------------------------
Target Version/s: 2.1.0 (was: 2.0.0)
> Make spark.ml package backward compatible with spark.mllib vectors
> ------------------------------------------------------------------
>
> Key: SPARK-15944
> URL: https://issues.apache.org/jira/browse/SPARK-15944
> Project: Spark
> Issue Type: Umbrella
> Components: ML, MLlib
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Critical
>
> During QA, we found that it is not trivial to convert a DataFrame with old
> vector columns to new vector columns. So it would be easier for users to
> migrate their datasets and pipelines if we:
> 1) provide utils to convert DataFrames with vector columns
> 2) automatically detect and convert old vector columns in ML pipelines
> This is an umbrella JIRA to track the progress.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
