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From "Alex Bertram (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MATH-764) New sample() API should accept RandomGenerator as parameter
Date Thu, 08 Mar 2012 09:42:59 GMT

     [ https://issues.apache.org/jira/browse/MATH-764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Alex Bertram updated MATH-764:
------------------------------

    Attachment: sampler-refactor.diff

Extraction of the sample functionality from the Distribution interfaces. All tests pass.
                
> New sample() API should accept RandomGenerator as parameter
> -----------------------------------------------------------
>
>                 Key: MATH-764
>                 URL: https://issues.apache.org/jira/browse/MATH-764
>             Project: Commons Math
>          Issue Type: Improvement
>    Affects Versions: 3.0
>            Reporter: Alex Bertram
>         Attachments: sampler-refactor.diff
>
>   Original Estimate: 48h
>  Remaining Estimate: 48h
>
> This may come to late as I know the 3.0 release is nearing completion, but I had some
concerns about the new sample() method on the math3 RealDistribution interface. 
> Specifically, there doesn't seem to be a way to supply a random generator to the sampler.
Perhaps it would be better to have a factory method on the RealDistribution interface that
accepted a RandomGenerator and returns an instance of some new interface, Sampler, which contains
the sample() methods. 
> That is:
> interface RealDistribution {
>     Sampler createSampler(RandomGenerator generator);
>     Sample createSampler(); // uses default RandomGenerator
> }
> interface Sampler {
>     double sample();
>     double[] sample(int sampleSize);
> }

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