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Posted to oak-issues@jackrabbit.apache.org by "Tommaso Teofili (JIRA)" <ji...@apache.org> on 2017/06/08 09:02:18 UTC

[jira] [Created] (OAK-6317) LMSEstimator update amount depending on error amount

Tommaso Teofili created OAK-6317:
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             Summary: LMSEstimator update amount depending on error amount
                 Key: OAK-6317
                 URL: https://issues.apache.org/jira/browse/OAK-6317
             Project: Jackrabbit Oak
          Issue Type: Bug
          Components: solr
    Affects Versions: 1.2.26, 1.4.16, 1.7.1, 1.6.1
            Reporter: Tommaso Teofili
            Assignee: Tommaso Teofili
             Fix For: 1.8


{{LMSEstimator}} update rule implementation wrongly updates the weights taking the LMS cost value into account, this means that if the error is huge the (and the cost quadratically grows with it) the weight could get an update value almost proportional to the LMS value (smoothed by learning rate alpha).
The correct update rule should be used which only uses the residual.

The side effect of this bug is that:
* cost may vary a lot 
* weights could not converge to a good solution



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