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