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https://issues.apache.org/jira/browse/MATH-1131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14043712#comment-14043712
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Phil Steitz commented on MATH-1131:
-----------------------------------
Thanks for reporting this and providing the code and data. I suspect the
problem is in the matrix exponentiation done in the roundedK method. Anyone
interested in patching this should start by looking at the reference in the
class javadoc (and other sources) to identify optimizations that can be done
for large samples.
> Kolmogorov-Smirnov Tests takes 'forever' on 10,000 item dataset
> ---------------------------------------------------------------
>
> Key: MATH-1131
> URL: https://issues.apache.org/jira/browse/MATH-1131
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.3
> Environment: Java 8
> Reporter: Schalk W. Cronjé
> Attachments: 1.txt, ReproduceKsIssue.groovy, ReproduceKsIssue.java
>
>
> I have code simplified to the following:
> KolmogorovSmirnovTest kst = new KolmogorovSmirnovTest();
> NormalDistribution nd = new NormalDistribution(mean,stddev);
> kst.kolmogorovSmirnovTest(nd,dataset)
> I find that for my dataset of 10,000 items, the call to kolmogorovSmirnovTest
> takes 'forever'. It has not returned after nearly 15minutes and in one my my
> tests has gone over 150MB in memory usage.
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