[ https://issues.apache.org/jira/browse/FLINK-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Theodore Vasiloudis reassigned FLINK-2297: ------------------------------------------ Assignee: Theodore Vasiloudis > Add threshold setting for SVM binary predictions > ------------------------------------------------ > > Key: FLINK-2297 > URL: https://issues.apache.org/jira/browse/FLINK-2297 > Project: Flink > Issue Type: Improvement > Components: Machine Learning Library > Reporter: Theodore Vasiloudis > Assignee: Theodore Vasiloudis > Priority: Minor > Labels: ML > Fix For: 0.10 > > > Currently SVM outputs the raw decision function values when using the predict > function. > We should have instead the ability to set a threshold above which examples > are labeled as positive (1.0) and below negative (-1.0). Then the prediction > function can be directly used for evaluation. -- This message was sent by Atlassian JIRA (v6.3.4#6332)