GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/8457
[SPARK-10194] [MLlib] [PySpark] SGD algorithms need convergenceTol
parameter in Python
[SPARK-3382](https://issues.apache.org/jira/browse/SPARK-3382) added a
```convergenceTol``` parameter for GradientDescent-based methods in Scala. We
need that parameter in Python; otherwise, Python users will not be able to
adjust that behavior (or even reproduce behavior from previous releases since
the default changed).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-10194
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8457.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 #8457
----
commit 92d6d8ceb4fdf4bd0c43b3e8b58683f12e3e2fd1
Author: Yanbo Liang <[email protected]>
Date: 2015-08-26T11:12:20Z
SGD algorithms need convergenceTol parameter in Python
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
