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https://issues.apache.org/jira/browse/MATH-764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13285680#comment-13285680
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Dennis Hendriks commented on MATH-764:
--------------------------------------
bq. I think that adding a RandomData instance as additional state to the
Distribution classes would really add a new "responsibility" to the
Distribution classes that muddies the API.
Actually, they already have this. For instance, AbstractRealDistribution has
this:
{code}
/** RandomData instance used to generate samples from the distribution. */
protected final RandomDataImpl randomData = new RandomDataImpl();
{code}
The only problem is that we can't control what randomData contains, as it is
fixed in the declaration of the field. Providing it via a constructor would
solve this.
> 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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