[
https://issues.apache.org/jira/browse/SOLR-3673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Greg Bowyer updated SOLR-3673:
------------------------------
Description:
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
was:
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 ?
> 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
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators:
https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
