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Posted to issues@hivemall.apache.org by "Makoto Yui (JIRA)" <ji...@apache.org> on 2018/08/28 08:47:00 UTC

[jira] [Updated] (HIVEMALL-213) Implement random training example selection

     [ https://issues.apache.org/jira/browse/HIVEMALL-213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Makoto Yui updated HIVEMALL-213:
--------------------------------
    Fix Version/s: 0.6.0

> Implement random training example selection
> -------------------------------------------
>
>                 Key: HIVEMALL-213
>                 URL: https://issues.apache.org/jira/browse/HIVEMALL-213
>             Project: Hivemall
>          Issue Type: Wish
>            Reporter: Makoto Yui
>            Priority: Minor
>             Fix For: 0.6.0
>
>
> Pick training examples at random is beneficial than using cyclic training example selection where number of iterations is large enough.
> [http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html]
> [https://github.com/scikit-learn/scikit-learn/blob/f0ab589f/sklearn/linear_model/coordinate_descent.py#L1655]
>  



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