GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/11299
[SPARK-13429] [MLlib] Unify Logistic Regression convergence tolerance of ML
& MLlib
## What changes were proposed in this pull request?
In order to provide better and consistent result, let's change the default
value of MLlib ```LogisticRegressionWithLBFGS convergenceTol``` from 1E-4 to
1E-6 which will be equal to ML ```LogisticRegression```.
cc @dbtsai
## How was the this patch tested?
unit tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-13429
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11299.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #11299
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commit f6b7b8bf38a8bc4fcc18f5126e9b1fdf2211cb72
Author: Yanbo Liang <[email protected]>
Date: 2016-02-22T05:54:47Z
Unify Logistic Regression convergence tolerance of ML & MLlib
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