[
https://issues.apache.org/jira/browse/MATH-1154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14161867#comment-14161867
]
Gilles commented on MATH-1154:
------------------------------
bq. lazy initialization was discouraged
AFAICT, lazy initialization of the distribution's RNG was considered an
unnecessary complication (of the distributions classes).
The patch seems to provide an elegant solution. It could be construed that the
distribution's RNG is still _not_ lazily initialized, it's the underlying
implementation that is.
An "average" user who trusts the provided default will gain in all cases, and a
"power" user (like you) can still force a "null" RNG for cases where he knows
that no sampling will be requested.
> Statistical tests in stat.inference package are very slow due to implicit
> RandomGenerator initialization
> --------------------------------------------------------------------------------------------------------
>
> Key: MATH-1154
> URL: https://issues.apache.org/jira/browse/MATH-1154
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.3
> Reporter: Otmar Ertl
> Attachments: MATH-1154.patch, math3.patch
>
>
> Some statistical tests defined in the stat.inference package (e.g.
> BinomialTest or ChiSquareTest) are unnecessarily very slow (up to a factor 20
> slower than necessary). The reason is the implicit slow initialization of a
> default (Well19937c) random generator instance each time a test is performed.
> The affected tests create some distribution instance in order to use some
> methods defined therein. However, they do not use any method for random
> generation. Nevertheless a random number generator instance is automatically
> created when creating a distribution instance, which is the reason for the
> serious slowdown. The problem is related to MATH-1124.
> There are following solutions:
> 1) Fix the affected statistical tests by passing a light-weight
> RandomGenerator implementation (or even null) to the constructor of the
> distribution.
> 2) Or use for all distributions a RandomGenerator implementation that uses
> lazy initialization to generate the Well19937c instance as late as possible.
> This would also solve MATH-1124.
> I will attach a patch proposal together with a performance test, that will
> demonstrate the speed up after a fix.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
