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https://issues.apache.org/jira/browse/HAMA-791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yexi Jiang updated HAMA-791:
----------------------------
Labels: machine_learning (was: )
Status: Patch Available (was: Open)
> Fix the problem that MultilayerPerceptron fails to learn a good hypothesis
> sometimes
> ------------------------------------------------------------------------------------
>
> Key: HAMA-791
> URL: https://issues.apache.org/jira/browse/HAMA-791
> Project: Hama
> Issue Type: Bug
> Reporter: Yexi Jiang
> Assignee: Yexi Jiang
> Labels: machine_learning
> Fix For: 0.6.3
>
> Attachments: HAMA-791.patch
>
>
> Fix the problem that MultilayerPerceptron fails to learn a good hypothesis
> sometimes. If the weights of MLP initialized to very bad values, the model
> might fail the test.
> Since the new model developed in
> [HAMA-770|https://issues.apache.org/jira/browse/HAMA-770] will replace the
> current old model, this problem will be simply fixed by increase the training
> iteration.
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