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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/20 15:25:21 UTC
[jira] [Assigned] (SPARK-16653) Make convergence tolerance param in
ANN default value consistent with other algorithm using LBFGS
[ https://issues.apache.org/jira/browse/SPARK-16653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16653:
------------------------------------
Assignee: Apache Spark
> Make convergence tolerance param in ANN default value consistent with other algorithm using LBFGS
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-16653
> URL: https://issues.apache.org/jira/browse/SPARK-16653
> Project: Spark
> Issue Type: Improvement
> Components: ML, Optimizer
> Reporter: Weichen Xu
> Assignee: Apache Spark
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> The default value of convergence tolerance param in ANN is 1e-4,
> but other algorithm (such as LinearRegression, LogisticRegression, and so on) using LBFGS optimizers this param's default values are all 1e-6.
> I think make them the same will be better.
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