[jira] [Commented] (HAMA-760) Add new features to existing Multi Layer Perceptron

["Edward J. Yoon (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HAMA-760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13679301#comment-13679301 ] 

Edward J. Yoon commented on HAMA-760:
-------------------------------------

I think you missed adding new CostEntropy class. 
                
> 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
>         Attachments: 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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