Sebastian Schelter created GIRAPH-480: -----------------------------------------
Summary: Add convergence detection to org.apache.giraph.examples.RandomWalkVertex Key: GIRAPH-480 URL: https://issues.apache.org/jira/browse/GIRAPH-480 Project: Giraph Issue Type: Improvement Components: examples Affects Versions: 0.2.0 Reporter: Sebastian Schelter Assignee: Sebastian Schelter I propose to add convergence detection to the RandomWalkVertex. Convergence is achieved when the overall absolute change (L1 norm) of the difference between the current and the previous probability vector. Convergence detection can be implemented via an additional aggregator. This change would make the class much easier to use as the users don't have to worry about the number of supersteps, but can simply specify a high number as MAX_SUPERSTEPS and be sure that the algorithm convergences when acceptable quality of the result is reached. -- 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