[
https://issues.apache.org/jira/browse/SPARK-13429?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng resolved SPARK-13429.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11299
[https://github.com/apache/spark/pull/11299]
> Unify Logistic Regression convergence tolerance of ML & MLlib
> -------------------------------------------------------------
>
> Key: SPARK-13429
> URL: https://issues.apache.org/jira/browse/SPARK-13429
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Yanbo Liang
> Priority: Minor
> Fix For: 2.0.0
>
>
> In order to provide better and consistent result, let's change the default
> value of MLlib LogisticRegressionWithLBFGS convergenceTol from 1E-4 to 1E-6
> which will be equal to ML LogisticRegression.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
