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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-651) Create a gradient descent BSP
Date Mon, 08 Oct 2012 16:10:03 GMT

    [ https://issues.apache.org/jira/browse/HAMA-651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13471640#comment-13471640
] 

Hudson commented on HAMA-651:
-----------------------------

Integrated in Hama trunk #21 (See [https://builds.apache.org/job/Hama%20trunk/21/])
    [HAMA-651] - fixed typos and constant abstractions (Revision 1395607)
[HAMA-651] - fixed javadoc (Revision 1395606)
[HAMA-651] - fixed format (Revision 1395605)
[HAMA-651] - added some model classes to abstract cost function and hypothesis from the gradient
descent bsp (Revision 1395604)

     Result = SUCCESS
tommaso : 
Files : 
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java

tommaso : 
Files : 
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java

tommaso : 
Files : 
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/HypothesisFunction.java

tommaso : 
Files : 
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/CostFunction.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/HypothesisFunction.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LinearRegressionModel.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/RegressionModel.java

                
> Create a gradient descent BSP
> -----------------------------
>
>                 Key: HAMA-651
>                 URL: https://issues.apache.org/jira/browse/HAMA-651
>             Project: Hama
>          Issue Type: New Feature
>          Components: machine learning
>    Affects Versions: 0.5.0
>            Reporter: Tommaso Teofili
>            Priority: Minor
>             Fix For: 0.6.0
>
>
> A gradient descent (http://en.wikipedia.org/wiki/Gradient_descent) BSP based algorithm
should be implemented.

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