spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-15169) Consider improving HasSolver to allow generalization
Date Tue, 10 May 2016 19:42:12 GMT

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

Joseph K. Bradley updated SPARK-15169:
--------------------------------------
    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`).



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message