I have fixed it.
2013/8/28 Edward J. Yoon <[email protected]> > 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 <[email protected]> wrote: > > > What does Success and then Failure mean? > > > > > > 2013/8/28 Hudson (JIRA) <[email protected]> > > > > > > > > [ > > > > > > 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, [email protected] > > 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, [email protected] School of Computer and Information Science, Florida International University Homepage: http://users.cis.fiu.edu/~yjian004/
