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From "Greg Bowyer (JIRA)" <>
Subject [jira] [Commented] (SOLR-3673) Random variate functions
Date Wed, 25 Jul 2012 17:46:34 GMT


Greg Bowyer commented on SOLR-3673:

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:
>             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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