GitHub user freeman-lab opened a pull request:
https://github.com/apache/spark/pull/4306
[SPARK-4979][MLLIB] Streaming logisitic regression
This adds support for streaming logistic regression with stochastic
gradient descent, in the same manner as the existing implementation of
streaming linear regression. It is a relatively simple addition because most of
the work is already done by the abstract class `StreamingLinearAlgorithm` and
existing algorithms and models from MLlib.
The PR includes
- Streaming Logistic Regression algorithm
- Unit tests for accuracy, streaming convergence, and streaming prediction
- An example use
cc @mengxr @tdas
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/freeman-lab/spark
streaming-logisitic-regression
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4306.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 #4306
----
commit 321cc66171a37722b0babb1b5dd49bf9c9bdae24
Author: freeman <[email protected]>
Date: 2015-02-02T08:39:32Z
Set private and protected within mllib
commit e78fe2894da216ab541c7069b3338ab3b0e14f1b
Author: freeman <[email protected]>
Date: 2015-02-02T08:39:46Z
Add streaming logistic regression example
commit 59d7ecb6a8e9eed4b459a4f910717299cb3b8bc1
Author: freeman <[email protected]>
Date: 2015-02-02T08:40:05Z
Add streaming logistic regression
commit d88f717463263c2a297627981201306f7ab3f94e
Author: freeman <[email protected]>
Date: 2015-02-02T08:43:25Z
Remove stray comment
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