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https://issues.apache.org/jira/browse/MATH-764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13285244#comment-13285244
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Gilles commented on MATH-764:
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bq. In my opinion, RandomDataImpl should just provide random data, and should
not implement all the different distributions, as that is what the
distributions (classes) themselves are for. [...]
I agree.
bq. Would it not be better to allow passing in a RandomData instance via the
constructors? [...] This way, the distributions are still immutable.
That looks like a good solution.
> 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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