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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-529) Implement LinearRegression
Date Mon, 10 Jan 2011 01:45:45 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-529?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12979453#action_12979453
] 

Sean Owen commented on MAHOUT-529:
----------------------------------

I'm trolling through updating some issues that might be able to move forward. The patch works
and all but do you think it's suitable for addition at this point or you want to work more
on it?

It could be useful to explain how this relates to the other code already there. I am not an
expert but it seems to overlap a fair bit? For instance what is DefaultGradientLinear doing
vs existing DefaultGradient?

> Implement LinearRegression
> --------------------------
>
>                 Key: MAHOUT-529
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-529
>             Project: Mahout
>          Issue Type: New Feature
>            Reporter: Frank Wang
>             Fix For: 0.5
>
>         Attachments: MAHOUT-529.patch
>
>
> The implementation would an OnlineLearner that would be to similar to AbstractOnlineLogisticRegression
for logistic regression.
> The learning will proceed by stochastic gradient descent.

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