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From Yexi Jiang <yexiji...@gmail.com>
Subject Re: [jira] [Commented] (HAMA-795) Implement Autoencoder based on NeuralNetwork
Date Thu, 29 Aug 2013 00:51:03 GMT
I have fixed it.


2013/8/28 Edward J. Yoon <edwardyoon@apache.org>

> 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
>



-- 
------
Yexi Jiang,
ECS 251,  yjian004@cs.fiu.edu
School of Computer and Information Science,
Florida International University
Homepage: http://users.cis.fiu.edu/~yjian004/

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