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https://issues.apache.org/jira/browse/SOLR-3673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13422451#comment-13422451
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Greg Bowyer edited comment on SOLR-3673 at 7/25/12 6:05 PM:
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Good idea, although interestingly I have noticed (from some brief source
diving) that mahout actual embeds uncommons math :S
As for secure random, its aimed at crypto and so reads from high quality
entropy like /dev/random (which blocks), whilst this can be changed around it
gets more complex than it needs to be.
was (Author: [email protected]):
Good idea, although interestingly I have noticed (from some brief source
diving) that mahout actual embeds uncommons math :S
As for secure random, its aimed at crypto and so reads from high quality
entropy like /dev/random, whilst this can be changed around it gets more
complex than it needs to be.
> Random variate functions
> ------------------------
>
> Key: SOLR-3673
> URL: https://issues.apache.org/jira/browse/SOLR-3673
> Project: Solr
> Issue Type: Improvement
> Affects Versions: 4.0, 5.0
> Reporter: Greg Bowyer
> Assignee: Greg Bowyer
> Attachments: SOLR-3673.patch
>
>
> Hi all
> At my $DAYJOB I have been asked to build a few random variate functions that
> return random numbers bound to a distribution.
> I think these can be added to solr.
> I have a hesitation in that the code as written uses / needs uncommons math
> (because we want a far better RNG than java's and because I am lazy and did
> not want to write distributions)
> uncommons math is apache license so we are good on that front
> anyone have any thoughts on this ?
> For reference the functions are:
> rgaussian(mean, stddev) -> Random value aligned to gaussian distribution
> rpoisson(mean) -> Random value aligned to poisson distribution
> rbinomial(n, prob) -> Random value aligned to binomial distribtion
> rcontinous(min ,max) -> random continuous value between min and max
> rdiscrete(min, max) -> Random discrete value between min and max
> rexponential(rate) -> Random value from the exponential distribution
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