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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:38:19 UTC

[jira] [Resolved] (SPARK-15169) Consider improving HasSolver to allow generalization

     [ https://issues.apache.org/jira/browse/SPARK-15169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-15169.
----------------------------------
    Resolution: Incomplete

> Consider improving HasSolver to allow generalization
> ----------------------------------------------------
>
>                 Key: SPARK-15169
>                 URL: https://issues.apache.org/jira/browse/SPARK-15169
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: holdenk
>            Priority: Trivial
>              Labels: bulk-closed
>
> The current HasSolver shared param has a fixed default value of "auto" and no validation. Some algorithms (see `MultilayerPerceptronClassifier`) have different default values or validators. This results in either a mostly duplicated param (as in `MultilayerPerceptronClassifier`) or incorrect scaladoc (as in `GeneralizedLinearRegression`).



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