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fixed dynamic pagerank vertex update computation - #2738
Conversation
There seems to be a typo here when comparing to static version or to the usual pagerank algorithm. if we take a node in the graph, on each iteration, we add a random jump to any node in the graph with equal probability of resetProb/N. Then summing for all nodes in the graph yields the resetProb on line 155, which has nothing to do with the pagerank value for last iteration.
AmplabJenkins
commented
Oct 9, 2014
Can one of the admins verify this patch? |
1 similar comment
AmplabJenkins
commented
Oct 9, 2014
Can one of the admins verify this patch? |
ankurdave
commented
Oct 9, 2014
@planvin I think this is the intended behavior, because |
ankurdave
commented
Oct 9, 2014
ok to test |
SparkQA
commented
Oct 9, 2014
QA tests have started for PR 2738 at commit
|
AmplabJenkins
commented
Oct 9, 2014
Test FAILed. |
As mentioned in #1000, but we still need to add the random jump
p1anv
commented
Oct 9, 2014
SparkQA
commented
Oct 9, 2014
QA tests have started for PR 2738 at commit
|
SparkQA
commented
Oct 9, 2014
QA tests have finished for PR 2738 at commit
|
AmplabJenkins
commented
Oct 9, 2014
Test FAILed. |
SparkQA
commented
Oct 9, 2014
QA tests have finished for PR 2738 at commit
|
AmplabJenkins
commented
Oct 9, 2014
Test FAILed. |
p1anv
commented
Oct 10, 2014
I am clearly missing something here. Sorry for that. I am closing the PR. |
There seems to be a typo here when comparing to static version or to the usual pagerank algorithm. if we take a node in the graph, on each iteration, we add a random jump to any node in the graph with equal probability of resetProb/N. Then summing for all nodes in the graph yields the resetProb on line 155, which has nothing to do with the pagerank value for last iteration.