[
https://issues.apache.org/jira/browse/FLINK-1809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14485060#comment-14485060
]
ASF GitHub Bot commented on FLINK-1809:
---------------------------------------
GitHub user fobeligi opened a pull request:
https://github.com/apache/flink/pull/579
Ml branch
Implementation of StandardScaler and respective tests for FLINK-1809 JIRA.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/fobeligi/incubator-flink ml-branch
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/579.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 #579
----
commit 96cb2f5676e945d7bc414987934e5c854de70584
Author: fobeligi <[email protected]>
Date: 2015-04-01T20:31:38Z
[FLINK-1809] Add Preprocessing package and Standardizer to ML-library
commit 2e8333b74e08f0c48bb58d36f2915a9ad832c456
Author: fobeligi <[email protected]>
Date: 2015-04-03T16:52:35Z
[FLINK-1809] Change implementation to use Breeze.linalg library and add
tests for Standardizer
----
> Add standard scaler to ML library
> ---------------------------------
>
> Key: FLINK-1809
> URL: https://issues.apache.org/jira/browse/FLINK-1809
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Faye Beligianni
> Priority: Minor
> Labels: ML
>
> Many ML algorithms require the input data to have mean 0 and a variance 1 for
> each individual feature [1]. Therefore, a {{Transformer}} which achieves
> exactly that would be a valuable addition to the machine learning library.
> Resources:
> [1]
> [http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
