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https://issues.apache.org/jira/browse/MATH-764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13224303#comment-13224303
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Gilles commented on MATH-764:
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* In the current design, the specific distribution subclasses would need to
implement both "RealDistribution" and "Sampler".
Can you give an example of a class that would implement "Sampler" interface?
* The addition of the "sample" methods in the distribution classes were
accepted, as syntactic sugar, on the premisses that users should be satisfied
with the default RNG.
* As much as possible, we try to have immutable objects; in this view, creating
(reinitializing) the RNG after construction is not an option.
* If you need to access (or change) the RNG, the original methods designed to
offer sequences of pseudo-random numbers (with certain properties) are located
in package "random" (in class "RandomDataImpl").
> 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
> 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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