Yexi Jiang created HAMA-791:
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Summary: 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
Fix For: 0.6.3
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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