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https://issues.apache.org/jira/browse/SAMOA-53?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15044998#comment-15044998
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ASF GitHub Bot commented on SAMOA-53:
-------------------------------------
GitHub user abifet opened a pull request:
https://github.com/apache/incubator-samoa/pull/43
SAMOA-53: Add Prequential Cross-Validation Evaluation
Prequential Cross-Validation Evaluation. Evaluation that evaluates
performance of online classifiers using prequential cross-validation: each
instance is used for testing online classifiers model and then the same
instance is used for training the model using one of these strategies: k-fold
distributed Cross Validation, k-fold distributed Bootstrap Validation, or
k-fold distributed Split Validation.
It implements the distributed prequential evaluation presented in: Albert
Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard
Pfahringer: Efficient Online Evaluation of Big Data Stream Classifiers. KDD
2015: 59-68
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/abifet/incubator-samoa SAMOA-53
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-samoa/pull/43.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 #43
----
commit 2e9785b49f21a12bdf87816a5c5183c6bc022b28
Author: Albert Bifet <[email protected]>
Date: 2015-12-07T14:00:09Z
SAMOA-53: Add Prequential Cross-Validation Evaluation
----
> Distributed Prequential Evaluation
> ----------------------------------
>
> Key: SAMOA-53
> URL: https://issues.apache.org/jira/browse/SAMOA-53
> Project: SAMOA
> Issue Type: New Feature
> Reporter: Albert Bifet
> Assignee: Albert Bifet
>
> Distributed Cross-Validation Prequential Evaluation proposed in the paper:
> Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes,
> Bernhard Pfahringer: Efficient Online Evaluation of Big Data Stream
> Classifiers. KDD 2015: 59-68
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