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https://issues.apache.org/jira/browse/HAMA-809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13793159#comment-13793159
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Hudson commented on HAMA-809:
-----------------------------
SUCCESS: Integrated in Hama-Nightly-for-Hadoop-2.x #61 (See
[https://builds.apache.org/job/Hama-Nightly-for-Hadoop-2.x/61/])
HAMA-809 - small refactoring of LRM (tommaso: rev 1531265)
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
HAMA-809 - applied draft patch to solve LR cost function problems (tommaso: rev
1531245)
* /hama/trunk/examples/src/test/resources/logistic_regression_sample.txt
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/math/DenseDoubleVector.java
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/CostFunction.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/GradientDescentBSP.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/HypothesisFunction.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LinearRegressionModel.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
*
/hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/RegressionModel.java
*
/hama/trunk/ml/src/test/java/org/apache/hama/ml/regression/LinearRegressionModelTest.java
*
/hama/trunk/ml/src/test/java/org/apache/hama/ml/regression/LogisticRegressionModelTest.java
> Underflow in LogisticRegressionModel
> ------------------------------------
>
> Key: HAMA-809
> URL: https://issues.apache.org/jira/browse/HAMA-809
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Affects Versions: 0.6.1, 0.6.2
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 0.7.0
>
>
> There's an underflow bug in _LogisticRegressionModel_ when calculating the
> hypothesis output due to _double_ limitations.
> Therefore we should leverage _BigDecimals_ for such operations as they allow
> for more precise calculation.
> Also the log algorithm in LRM is wrong and needs to be fixed.
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