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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 should not be regularized. 
If without penalty, training with standardization and without standardization 
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: LogisticRegression intercept should not be regularized.


> 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 should not be 
> regularized. If without penalty, training with standardization and without 
> standardization will return the same solution by the same convergence 
> rate(because they run the same code route).



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