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From "Yexi Jiang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HAMA-822) Add feature transformer interface to improve the power and flexibility of existing machine learning model
Date Tue, 03 Dec 2013 15:29:35 GMT

     [ https://issues.apache.org/jira/browse/HAMA-822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yexi Jiang updated HAMA-822:
----------------------------

    Attachment: HAMA-822.patch

> Add feature transformer interface to improve the power and flexibility of existing machine
learning model
> ---------------------------------------------------------------------------------------------------------
>
>                 Key: HAMA-822
>                 URL: https://issues.apache.org/jira/browse/HAMA-822
>             Project: Hama
>          Issue Type: New Feature
>          Components: machine learning
>    Affects Versions: 0.7.0
>            Reporter: Yexi Jiang
>            Assignee: Yexi Jiang
>              Labels: machine_learning
>         Attachments: HAMA-822.patch
>
>
> Add the feature transformer interface to improve the power of the existing learning model.
> If the user implicitly know how to transform and extract the features, the user can implement
the concrete feature transformer to extract the useful information from the original features.

> The implemented feature transformer can reduce the dimension of the original features
to improve the generalization of the model. Or it can transform the original nonlinearly separable
features by mapping them to a linear separable space.



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