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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:44:15 UTC

[jira] [Resolved] (SPARK-11136) Warm-start support for ML estimator

     [ https://issues.apache.org/jira/browse/SPARK-11136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-11136.
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    Resolution: Incomplete

> Warm-start support for ML estimator
> -----------------------------------
>
>                 Key: SPARK-11136
>                 URL: https://issues.apache.org/jira/browse/SPARK-11136
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Xusen Yin
>            Priority: Minor
>              Labels: bulk-closed
>
> The current implementation of Estimator does not support warm-start fitting, i.e. estimator.fit(data, params, partialModel). But first we need to add warm-start for all ML estimators. This is an umbrella JIRA to add support for the warm-start estimator. 
> Treat model as a special parameter, passing it through ParamMap. e.g. val partialModel: Param[Option[M]] = new Param(...). In the case of model existing, we use it to warm-start, else we start the training process from the beginning.



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