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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-16653) Make convergence tolerance param in ANN default value consistent with other algorithm using LBFGS
Date Wed, 20 Jul 2016 15:25:21 GMT

     [ 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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