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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2017/10/17 19:29:00 UTC
[jira] [Updated] (SOLR-11160) Add normalDistribution,
uniformDistribution, sample and kolmogorovSmirnov Stream Evaluators
[ https://issues.apache.org/jira/browse/SOLR-11160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joel Bernstein updated SOLR-11160:
----------------------------------
Fix Version/s: (was: 7.2)
7.1
> Add normalDistribution, uniformDistribution, sample and kolmogorovSmirnov Stream Evaluators
> -------------------------------------------------------------------------------------------
>
> Key: SOLR-11160
> URL: https://issues.apache.org/jira/browse/SOLR-11160
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Fix For: 7.1, master (8.0)
>
> Attachments: SOLR-11160.patch, SOLR-11160.patch, SOLR-11160.patch
>
>
> This ticket digs deeper into *probability distributions*, which are a key foundation of statistics.
> Three new functions are introduced:
> 1) *normalDistribution*: This is a distribution function which returns a normal distribution generator. It is designed to be used with both the *sample* and the *kolmogorovSmirnov* functions. Eventually a function will be added for every distribution supported by *Apache Commons Math*.
> 2) *sample*: Returns array of numbers that conforms to a given distribution. You pass it a distribution function and size and it returns the array that conforms to the distribution.
> 3) *kolmogorovSmirnov*: Performs a goodness of fit test for distributions. This function can will do both a one and two side test. The one sided test compares a sample to a distribution function. The two sided test compares two samples to see if that were pulled from the same distribution.
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