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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/05/14 22:27:02 UTC
[jira] [Updated] (SPARK-7647) Additional methods in GLM JavaModel
wrappers
[ https://issues.apache.org/jira/browse/SPARK-7647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-7647:
---------------------------------
Summary: Additional methods in GLM JavaModel wrappers (was: Additional methods in JavaModel wrappers)
> Additional methods in GLM JavaModel wrappers
> --------------------------------------------
>
> Key: SPARK-7647
> URL: https://issues.apache.org/jira/browse/SPARK-7647
> Project: Spark
> Issue Type: New Feature
> Components: ML, PySpark
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
>
> We wrap Scala implementation of estimators and models as JavaEstimator and JavaModel in Python, which provides fit/transform by default. However, no additional methods are provided under the Python API. So basically user can call transform but they cannot get model weights out. We should provide those methods.
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