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https://issues.apache.org/jira/browse/SPARK-13448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-13448:
--------------------------------
    Description: 
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can 
remember to add them to the migration guide.

* SPARK-13429: change convergenceTol in LogisticRegressionWithLBFGS from 1e-4 
to 1e-6.
* SPARK-7780: LogisticRegressionWithLBFGS intercept will not be regularized. 
Meanwhile if without regularization, training with or without feature scaling 
will return the same solution by the same convergence rate(because they run the 
same code route).

  was:
This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can 
remember to add them to the migration guide.

* SPARK-13429: change convergenceTol in LogisticRegressionWithLBFGS from 1e-4 
to 1e-6.
* SPARK-7780: LogisticRegressionWithLBFGS intercept will not be regularized. 
Meanwhile if without regularization, training with standardization and without 
standardization will return the same solution by the same convergence 
rate(because they run the same code route).


> Document MLlib behavior changes in Spark 2.0
> --------------------------------------------
>
>                 Key: SPARK-13448
>                 URL: https://issues.apache.org/jira/browse/SPARK-13448
>             Project: Spark
>          Issue Type: Documentation
>          Components: ML, MLlib
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> This JIRA keeps a list of MLlib behavior changes in Spark 2.0. So we can 
> remember to add them to the migration guide.
> * SPARK-13429: change convergenceTol in LogisticRegressionWithLBFGS from 1e-4 
> to 1e-6.
> * SPARK-7780: LogisticRegressionWithLBFGS intercept will not be regularized. 
> Meanwhile if without regularization, training with or without feature scaling 
> will return the same solution by the same convergence rate(because they run 
> the same code route).



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