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[SPARK-3112][MLLIB] Add documentation and example for StreamingLR #2047

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Added a documentation section on StreamingLR to the MLlib - Linear Methods, including a worked example.

@mengxr @tdas

## Streaming linear regression

When data arrive in a streaming fashion, it is useful to fit regression models online,
updating the parameters of the model as new data arrive. MLlib currently supports
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arrive -> arrives

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mengxr commented Aug 20, 2014

@freeman-lab This looks great! Thanks a lot for the documentation!

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SparkQA commented Aug 20, 2014

QA tests have started for PR 2047 at commit 568d250.

  • This patch merges cleanly.

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SparkQA commented Aug 20, 2014

QA tests have finished for PR 2047 at commit 568d250.

  • This patch fails unit tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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mengxr commented Aug 20, 2014

This PR contains only updates to documentation and jekyll build runs fine on my local machine. So I'm merging this into master and branch-1.1. @freeman-lab Thanks!

asfgit pushed a commit that referenced this pull request Aug 20, 2014
Added a documentation section on StreamingLR to the ``MLlib - Linear Methods``, including a worked example.

mengxr tdas

Author: freeman <the.freeman.lab@gmail.com>

Closes #2047 from freeman-lab/streaming-lr-docs and squashes the following commits:

568d250 [freeman] Tweaks to wording / formatting
05a1139 [freeman] Added documentation and example for StreamingLR

(cherry picked from commit c7252b0)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
@asfgit asfgit closed this in c7252b0 Aug 20, 2014
xiliu82 pushed a commit to xiliu82/spark that referenced this pull request Sep 4, 2014
Added a documentation section on StreamingLR to the ``MLlib - Linear Methods``, including a worked example.

mengxr tdas

Author: freeman <the.freeman.lab@gmail.com>

Closes apache#2047 from freeman-lab/streaming-lr-docs and squashes the following commits:

568d250 [freeman] Tweaks to wording / formatting
05a1139 [freeman] Added documentation and example for StreamingLR
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