[jira] Commented: (MAHOUT-24) Skeletal LWLR implementation

["Isabel Drost (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-24?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12659287#action_12659287 ] 

Isabel Drost commented on MAHOUT-24:
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> If no one else has already looked into this, I will take a look at Samee's code and see what needs to be done to make it work.

Alexander did you further pursue this issue? It would be great if you could get the patch into a format so that it can be checked in. 

> Skeletal LWLR implementation
> ----------------------------
>
>                 Key: MAHOUT-24
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-24
>             Project: Mahout
>          Issue Type: New Feature
>         Environment: n/a
>            Reporter: Samee Zahur
>         Attachments: LWLR.patch.tar.bz2
>
>
> This is a very skeletal but functional implementation for LWLR. It outputs n lines where n is the number of dimensions. ith line = sum(x[i]*x[ind]) where ind is the index of independant variable. So the actual gradient = 2nd line/1st line for the classical 2D.
> Contains a single small test case for demonstration.

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