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https://issues.apache.org/jira/browse/SPARK-15169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15169:
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Summary: Consider improving HasSolver to allow generalization (was:
Consider improving HasSolver to allow generilization)
> 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
>
> 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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