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From "Tommaso Teofili (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-651) Create a gradient descent BSP
Date Sun, 07 Oct 2012 13:46:03 GMT

    [ https://issues.apache.org/jira/browse/HAMA-651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13471242#comment-13471242

Tommaso Teofili commented on HAMA-651:

+1, that's what I've in mind as well. I need to refactor the current implementation a bit
in order to do that since currently the total number of inputs is not known in advance while
the cost function (which usually needs such an information) has to be calculated per each
I'll work in the next weeks on this and some tests / benchmarks.
> 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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