[ https://issues.apache.org/jira/browse/MAHOUT-775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Angel Martinez Gonzalez updated MAHOUT-775: ------------------------------------------- Attachment: MAHOUT-775.patch The problem is that the L2 variance ("s" member)is initialized with a 0 value. As regularization is controlled by AdaptiveLogisticRegression through the "lambda" hyperparameter, I think a value of 1 would be ok for "s". Also, a variance of 0 does never make sense, so I modified the constructor of L2. See attached patch. > L2 does not work with TrainAdaptiveLogisticRegression > ----------------------------------------------------- > > Key: MAHOUT-775 > URL: https://issues.apache.org/jira/browse/MAHOUT-775 > Project: Mahout > Issue Type: Bug > Components: Classification > Affects Versions: 0.6 > Reporter: XiaoboGu > Attachments: MAHOUT-775.patch > > > I have post the problem to the dev list, see the following message > http://mail-archives.apache.org/mod_mbox/mahout-dev/201106.mbox/%3cbanlktik6153pjgcfnayuprwbv9jzcxp...@mail.gmail.com%3e -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira