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Posted to dev@hama.apache.org by "Tommaso Teofili (JIRA)" <ji...@apache.org> on 2012/11/09 11:28:12 UTC
[jira] [Created] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Tommaso Teofili created HAMA-668:
------------------------------------
Summary: Fix possible number instabilities in LogisticRegression CF
Key: HAMA-668
URL: https://issues.apache.org/jira/browse/HAMA-668
Project: Hama
Issue Type: Bug
Components: machine learning
Reporter: Tommaso Teofili
In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
* If the argument is NaN or less than zero, then the result is NaN.
* If the argument is positive infinity, then the result is positive infinity.
* If the argument is positive zero or negative zero, then the result is negative infinity.
We should guard them.
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[jira] [Commented] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Posted by "Hudson (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/HAMA-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13496355#comment-13496355 ]
Hudson commented on HAMA-668:
-----------------------------
Integrated in Hama trunk #51 (See [https://builds.apache.org/job/Hama%20trunk/51/])
[HAMA-668] - added an assertion to check h to be within 0 and 1 (Revision 1408773)
Result = FAILURE
tommaso :
Files :
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
> Fix possible number instabilities in LogisticRegression CF
> ----------------------------------------------------------
>
> Key: HAMA-668
> URL: https://issues.apache.org/jira/browse/HAMA-668
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Reporter: Tommaso Teofili
>
> In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
> * If the argument is NaN or less than zero, then the result is NaN.
> * If the argument is positive infinity, then the result is positive infinity.
> * If the argument is positive zero or negative zero, then the result is negative infinity.
> We should guard them.
--
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[jira] [Commented] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Posted by "Hudson (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/HAMA-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13502461#comment-13502461 ]
Hudson commented on HAMA-668:
-----------------------------
Integrated in Hama-Nightly #744 (See [https://builds.apache.org/job/Hama-Nightly/744/])
[HAMA-668] - let LogisticRegressionModel use BigDecimals internally to avoid number instabilities (Revision 1412031)
Result = SUCCESS
tommaso :
Files :
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/GradientDescentTest.java
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/LinearRegressionTest.java
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/LogisticRegressionTest.java
* /hama/trunk/examples/src/test/resources/gd_file_sample.txt
* /hama/trunk/examples/src/test/resources/linear_regression_sample.txt
* /hama/trunk/examples/src/test/resources/logistic_regression_sample.txt
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
* /hama/trunk/ml/src/test/java/org/apache/hama/ml/regression/LogisticRegressionModelTest.java
> Fix possible number instabilities in LogisticRegression CF
> ----------------------------------------------------------
>
> Key: HAMA-668
> URL: https://issues.apache.org/jira/browse/HAMA-668
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 0.6.0
>
>
> In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
> * If the argument is NaN or less than zero, then the result is NaN.
> * If the argument is positive infinity, then the result is positive infinity.
> * If the argument is positive zero or negative zero, then the result is negative infinity.
> We should guard them.
--
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[jira] [Commented] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Posted by "Hudson (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/HAMA-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13501823#comment-13501823 ]
Hudson commented on HAMA-668:
-----------------------------
Integrated in Hama trunk #60 (See [https://builds.apache.org/job/Hama%20trunk/60/])
[HAMA-668] - let LogisticRegressionModel use BigDecimals internally to avoid number instabilities (Revision 1412031)
Result = SUCCESS
tommaso :
Files :
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/GradientDescentTest.java
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/LinearRegressionTest.java
* /hama/trunk/examples/src/test/java/org/apache/hama/examples/LogisticRegressionTest.java
* /hama/trunk/examples/src/test/resources/gd_file_sample.txt
* /hama/trunk/examples/src/test/resources/linear_regression_sample.txt
* /hama/trunk/examples/src/test/resources/logistic_regression_sample.txt
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
* /hama/trunk/ml/src/test/java/org/apache/hama/ml/regression/LogisticRegressionModelTest.java
> Fix possible number instabilities in LogisticRegression CF
> ----------------------------------------------------------
>
> Key: HAMA-668
> URL: https://issues.apache.org/jira/browse/HAMA-668
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 0.6.0
>
>
> In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
> * If the argument is NaN or less than zero, then the result is NaN.
> * If the argument is positive infinity, then the result is positive infinity.
> * If the argument is positive zero or negative zero, then the result is negative infinity.
> We should guard them.
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[jira] [Resolved] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Posted by "Tommaso Teofili (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/HAMA-668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tommaso Teofili resolved HAMA-668.
----------------------------------
Resolution: Fixed
Fix Version/s: 0.6.0
Assignee: Tommaso Teofili
> Fix possible number instabilities in LogisticRegression CF
> ----------------------------------------------------------
>
> Key: HAMA-668
> URL: https://issues.apache.org/jira/browse/HAMA-668
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 0.6.0
>
>
> In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
> * If the argument is NaN or less than zero, then the result is NaN.
> * If the argument is positive infinity, then the result is positive infinity.
> * If the argument is positive zero or negative zero, then the result is negative infinity.
> We should guard them.
--
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[jira] [Commented] (HAMA-668) Fix possible number instabilities in
LogisticRegression CF
Posted by "Hudson (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/HAMA-668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13496800#comment-13496800 ]
Hudson commented on HAMA-668:
-----------------------------
Integrated in Hama-Nightly #736 (See [https://builds.apache.org/job/Hama-Nightly/736/])
[HAMA-668] - added an assertion to check h to be within 0 and 1 (Revision 1408773)
Result = SUCCESS
tommaso :
Files :
* /hama/trunk/ml/src/main/java/org/apache/hama/ml/regression/LogisticRegressionModel.java
> Fix possible number instabilities in LogisticRegression CF
> ----------------------------------------------------------
>
> Key: HAMA-668
> URL: https://issues.apache.org/jira/browse/HAMA-668
> Project: Hama
> Issue Type: Bug
> Components: machine learning
> Reporter: Tommaso Teofili
>
> In calculateCostForItem the log of several calculations may run in the special cases of the logarithm:
> * If the argument is NaN or less than zero, then the result is NaN.
> * If the argument is positive infinity, then the result is positive infinity.
> * If the argument is positive zero or negative zero, then the result is negative infinity.
> We should guard them.
--
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