[
https://issues.apache.org/jira/browse/FLINK-1737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14721710#comment-14721710
]
ASF GitHub Bot commented on FLINK-1737:
---------------------------------------
GitHub user daniel-pape opened a pull request:
https://github.com/apache/flink/pull/1078
FLINK-1737: Kronecker product
This is preparational work related to FLINK-1737: Adds an implementation of
outer/Kronecker product which can subsequently be used to compute the sample
covariance matrix.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/daniel-pape/flink FLINK-0
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/1078.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 #1078
----
commit 627a0e9776a3c39e985b30b508521e4869309767
Author: daniel-pape <[email protected]>
Date: 2015-08-18T18:29:06Z
Work in progress: Test cases and implementation for outer product of
vectors.
commit 277771aee8d0e3aeea1b027bb70c71c5ea1aa66b
Author: daniel-pape <[email protected]>
Date: 2015-08-21T12:50:26Z
Implementation of outer product for sparse vectors.
commit 0e9a608feb305ef254d896e9f39f58f98e236dba
Author: daniel-pape <[email protected]>
Date: 2015-08-21T12:51:40Z
Test cases for outer product computation. For dense as well as sparse
vectors, More tests are to come.
commit d0eb80102ae4856236fce0b98c4e396183d86f3f
Author: daniel-pape <[email protected]>
Date: 2015-08-21T19:38:05Z
Added test case.
commit 97dd4f050e7d3abf7c419d904913979406abac05
Author: Daniel Pape <[email protected]>
Date: 2015-08-30T20:11:53Z
Added method documentation for outer product methods.
commit 4dde9f86b300cd7c64c7f62feb11984267f45913
Author: daniel-pape <[email protected]>
Date: 2015-08-18T18:29:06Z
Work in progress: Test cases and implementation for outer product of
vectors.
commit 9ea41fc721bb6983cd91ca102342ef31c4cd0732
Author: daniel-pape <[email protected]>
Date: 2015-08-21T12:50:26Z
Implementation of outer product for sparse vectors.
commit b021b1f4d6a31626cf5b1cfac7c9dbf025ff00a1
Author: daniel-pape <[email protected]>
Date: 2015-08-21T12:51:40Z
Test cases for outer product computation. For dense as well as sparse
vectors, More tests are to come.
commit f70f5e0be5851d98cbbb4d0572abfb8294af3b0f
Author: daniel-pape <[email protected]>
Date: 2015-08-21T19:38:05Z
Added test case.
commit 503e4c04416c436da31f9340448420198b495d7b
Author: Daniel Pape <[email protected]>
Date: 2015-08-30T20:11:53Z
Added method documentation for outer product methods.
commit 31b25266924e89412cafa13f8801d8eff9fcb84c
Author: Daniel Pape <[email protected]>
Date: 2015-08-30T20:18:56Z
Merge branch 'FLINK-0' of https://www.github.com/daniel-pape/flink into
FLINK-0
commit 9f337f3d117d025e26578a96fafde2cdd7b2df72
Author: Daniel Pape <[email protected]>
Date: 2015-08-30T20:46:11Z
Removed marker comments from test suites and also add the missing test to
SparseVector suite
that correspond to the one from the suite for DenseVector.
----
> Add statistical whitening transformation to machine learning library
> --------------------------------------------------------------------
>
> Key: FLINK-1737
> URL: https://issues.apache.org/jira/browse/FLINK-1737
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Daniel Pape
> Labels: ML, Starter
>
> The statistical whitening transformation [1] is a preprocessing step for
> different ML algorithms. It decorrelates the individual dimensions and sets
> its variance to 1.
> Statistical whitening should be implemented as a {{Transfomer}}.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Whitening_transformation]
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