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https://issues.apache.org/jira/browse/SPARK-10413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14905230#comment-14905230
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Joseph K. Bradley commented on SPARK-10413:
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For API, I think my main question is whether predict() should take strong types
(Vector, etc.) and/or Rows. I prefer supporting strong types first (as you are
doing) since we could add support for Rows later on (although there could be
difficult questions about missing schema for Scala/Java).
For raw & probability, I would again vote for just making those public. But
that could be done at a later time.
> Model should support prediction on single instance
> --------------------------------------------------
>
> Key: SPARK-10413
> URL: https://issues.apache.org/jira/browse/SPARK-10413
> Project: Spark
> Issue Type: Umbrella
> Components: ML
> Reporter: Xiangrui Meng
> Priority: Critical
>
> Currently models in the pipeline API only implement transform(DataFrame). It
> would be quite useful to support prediction on single instance.
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