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Date: Thu, 29 Aug 2013 09:40:34 +0900
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 <CAGQgZQRFEwUHpmeQyJxTY0VpUi6TszRoi=fqcbWUjDqL_ZiFrw@mail.gmail.com>
Subject: Re: [jira] [Commented] (HAMA-795) Implement Autoencoder based on
 NeuralNetwork
From: "Edward J. Yoon" <edwardyoon@apache.org>
To: "dev@hama.apache.org" <dev@hama.apache.org>
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As you can see here
https://builds.apache.org/job/Hama-Nightly-for-Hadoop-2.x/14/

TestSmallMultiLayerPerceptron.testTrainWithSquaredError still occasionally
fails.


On Thu, Aug 29, 2013 at 9:36 AM, Yexi Jiang <yexijiang@gmail.com> wrote:

> What does Success and then Failure mean?
>
>
> 2013/8/28 Hudson (JIRA) <jira@apache.org>
>
> >
> >     [
> >
> https://issues.apache.org/jira/browse/HAMA-795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13753045#comment-13753045
> ]
> >
> > Hudson commented on HAMA-795:
> > -----------------------------
> >
> > FAILURE: Integrated in Hama-Nightly-for-Hadoop-2.x #14 (See [
> > https://builds.apache.org/job/Hama-Nightly-for-Hadoop-2.x/14/])
> > HAMA-795: Implement Autoencoder based on NeuralNetwork (yxjiang: rev
> > 1518055)
> > * /hama/trunk/CHANGES.txt
> > *
> >
> /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/AbstractLayeredNeuralNetwork.java
> > * /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/AutoEncoder.java
> > *
> >
> /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/SmallLayeredNeuralNetwork.java
> > *
> >
> /hama/trunk/ml/src/main/java/org/apache/hama/ml/ann/SmallLayeredNeuralNetworkTrainer.java
> > *
> >
> /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SmallMLPTrainer.java
> > * /hama/trunk/ml/src/test/java/org/apache/hama/ml/MLTestBase.java
> > *
> /hama/trunk/ml/src/test/java/org/apache/hama/ml/ann/TestAutoEncoder.java
> > *
> >
> /hama/trunk/ml/src/test/java/org/apache/hama/ml/ann/TestSmallLayeredNeuralNetwork.java
> > *
> >
> /hama/trunk/ml/src/test/java/org/apache/hama/ml/ann/TestSmallLayeredNeuralNetworkMessage.java
> > * /hama/trunk/ml/src/test/resources/dimensional_reduction.txt
> >
> >
> > > Implement Autoencoder based on NeuralNetwork
> > > --------------------------------------------
> > >
> > >                 Key: HAMA-795
> > >                 URL: https://issues.apache.org/jira/browse/HAMA-795
> > >             Project: Hama
> > >          Issue Type: New Feature
> > >          Components: machine learning
> > >    Affects Versions: 0.6.3
> > >            Reporter: Yexi Jiang
> > >            Assignee: Yexi Jiang
> > >         Attachments: HAMA-795.patch, HAMA-795.patch
> > >
> > >
> > > Implement the autoencoder based on the NeuralNetwork (Implemented in
> > Hama-770).
> > > The autoencoder can be used for dimensional reduction (non-linear) and
> > the building block of deep learning network.
> >
> > --
> > This message is automatically generated by JIRA.
> > If you think it was sent incorrectly, please contact your JIRA
> > administrators
> > For more information on JIRA, see:
> http://www.atlassian.com/software/jira
> >
>
>
>
> --
> ------
> Yexi Jiang,
> ECS 251,  yjian004@cs.fiu.edu
> School of Computer and Information Science,
> Florida International University
> Homepage: http://users.cis.fiu.edu/~yjian004/
>


-- 
Best Regards, Edward J. Yoon
@eddieyoon

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