GitHub user goodsoldiersvejk opened a pull request:
https://github.com/apache/spark/pull/13516
[MLLIB][DOC] Edit logistic regression docs to provide context for
distinction with linear svms
## What changes were proposed in this pull request?
The distinction to linear support vector machines is alluded to very
briefly in the documentation for logistic regression
('mllib-linear-methods.md'). The distinction is rewritten to give some clarity
and context; in particular its formally being a Bayesian model.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration
tests, manual tests)
manual tests
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/goodsoldiersvejk/spark logisticregressiondocs
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13516.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 #13516
----
commit 2ce6cbc07862bcc1cd6556106439532039410de4
Author: goodsoldiersvejk <svej...@gmail.com>
Date: 2016-06-05T06:37:08Z
Edit logistic regression documentation in
'mllib-linear-methods.md' to provide some context
to the distinction with linear SVMs already alluded
to.
----
---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
