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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-760) Add new features to existing Multi Layer Perceptron
Date Mon, 10 Jun 2013 23:09:20 GMT

    [ https://issues.apache.org/jira/browse/HAMA-760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13680027#comment-13680027
] 

Hudson commented on HAMA-760:
-----------------------------

Integrated in Hama-Nightly #937 (See [https://builds.apache.org/job/Hama-Nightly/937/])
    HAMA-760: Add new features to existing Multi Layer Perceptron (Yexi Jiang via edwardyoon)
(Revision 1491624)

     Result = SUCCESS
edwardyoon : 
Files : 
* /hama/trunk/CHANGES.txt
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/CostFunction.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/CostFunctionFactory.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/CrossEntropy.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/MultiLayerPerceptron.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/Sigmoid.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SmallMLPMessage.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SmallMLPTrainer.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SmallMultiLayerPerceptron.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SquaredError.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/perception/SquashingFunctionFactory.java
* /hama/trunk/ml/src/test/java/org/apache/hama/ml/perception/TestSmallMLPMessage.java
* /hama/trunk/ml/src/test/java/org/apache/hama/ml/perception/TestSmallMultiLayerPerceptron.java

                
> Add new features to existing Multi Layer Perceptron
> ---------------------------------------------------
>
>                 Key: HAMA-760
>                 URL: https://issues.apache.org/jira/browse/HAMA-760
>             Project: Hama
>          Issue Type: New Feature
>            Reporter: Yexi Jiang
>            Assignee: Yexi Jiang
>              Labels: features, machine_learning, mlp
>             Fix For: 0.6.2
>
>         Attachments: HAMA-760.patch, HAMA-760.patch
>
>
> Current MultiLayerPerceptron has only implemented the basic features of a Multi Layer
Perceptron.
> There are still several features need to be implemented.
> In the next step the following features should be added:
> 1) add more cost functions such as cross entropy.
> 2) add momentum and regularization.
> 3) make the training method in MLP be public to allow user to use MLP in a standalone
algorithm.
> 4) add more test cases on other applications, at least one with regression and one with
classification. 

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