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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:35:23 UTC

[jira] [Resolved] (SPARK-17116) Allow params to be a {string, value} dict at fit time

     [ https://issues.apache.org/jira/browse/SPARK-17116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-17116.
----------------------------------
    Resolution: Incomplete

> Allow params to be a {string, value} dict at fit time
> -----------------------------------------------------
>
>                 Key: SPARK-17116
>                 URL: https://issues.apache.org/jira/browse/SPARK-17116
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Manoj Kumar
>            Priority: Minor
>              Labels: bulk-closed
>
> Currently, it is possible to override the default params set at constructor time by supplying a ParamMap which is essentially a (Param: value) dict.
> Looking at the codebase, it should be trivial to extend this to a (string, value) representation.
> {code}
> # This hints that the maxiter param of the lr instance is modified in-place
> lr = LogisticRegression(maxIter=10, regParam=0.01)
> lr.fit(dataset, {lr.maxIter: 20})
> # This seems more natural.
> lr.fit(dataset, {"maxIter": 20})
> {code}



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