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https://issues.apache.org/jira/browse/SPARK-5995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-5995:
-----------------------------------
Assignee: Joseph K. Bradley (was: Apache Spark)
> Make ML Prediction Developer APIs public
> ----------------------------------------
>
> Key: SPARK-5995
> URL: https://issues.apache.org/jira/browse/SPARK-5995
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
>
> Previously, some Developer APIs were added to spark.ml for classification and
> regression to make it easier to add new algorithms and models: [SPARK-4789]
> There are ongoing discussions about the best design of the API. This JIRA is
> to continue that discussion and try to finalize those Developer APIs so that
> they can be made public.
> Please see [this design doc from SPARK-4789 |
> https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs]
> for details on the original API design.
> Some issues under debate:
> * Should there be strongly typed APIs for fit()?
> ** Proposal: No
> * Should the strongly typed API for transform() be public (vs. protected)?
> ** Proposal: Protected for now
> * What transformation methods should the API make developers implement for
> classification?
> ** Proposal: See design doc
> * Should there be a way to transform a single Row (instead of only
> DataFrames)?
> ** Proposal: Not for now
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