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https://issues.apache.org/jira/browse/HAMA-795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13752078#comment-13752078
]
Hudson commented on HAMA-795:
-----------------------------
SUCCESS: Integrated in Hama trunk #160 (See
[https://builds.apache.org/job/Hama%20trunk/160/])
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.
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