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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:
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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 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: 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).
> 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 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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