Sebastian Schelter created GIRAPH-480:
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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.
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