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https://issues.apache.org/jira/browse/SOLR-3673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13422053#comment-13422053
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Lance Norskog commented on SOLR-3673:
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You might want to ask the Mahout people about good random numbers and packaging
them. They went to a lot of work to get this stuff right for packaged software.
Determinism is really important for writing unit tests, and Mahout has a weird
hack to make this easy.
[SecureRandom|http://docs.oracle.com/javase/6/docs/api/java/security/SecureRandom.html]
might be better than dragging in uncommons.
(Java.util.Random's double generator always gives something less than 20% away
from the previous value.)
> 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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