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From "Gilles (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-764) New sample() API should accept RandomGenerator as parameter
Date Sat, 26 May 2012 21:15:23 GMT

    [ https://issues.apache.org/jira/browse/MATH-764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13284066#comment-13284066
] 

Gilles commented on MATH-764:
-----------------------------

Sorry for the delay in coming back to this issue.

The patch must be missing quite a few important things, since it leads to 29 compilation errors.

Also, some of the changes certainly cannot make it in 3.1 because they'd break compatibility
(namely the removal of the "sample" methods from the distribution classes; those should be
marked as deprecated).

If you want to submit another patch, please also check the code formatting (no tabs, 4-space
indentation). Thanks.

                
> 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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