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

["Aditya (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15659590#comment-15659590 ] 

Aditya commented on SPARK-17116:
--------------------------------

I dont get any error when I try to use the string as key. here is my code:
lr=LogisticRegression(maxIter=10)

model=lr.fit(final,{"maxIter":5})

Is the issue solved?

> 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
>
> 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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