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
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commit 2ce6cbc07862bcc1cd6556106439532039410de4
Author: goodsoldiersvejk <[email protected]>
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.
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