[jira] [Comment Edited] (STATISTICS-2) Migrate one-dimensional statistical distributions from "Commons Math"

["Jonathan Shook (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/STATISTICS-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16663773#comment-16663773 ] 

Jonathan Shook edited comment on STATISTICS-2 at 10/25/18 2:00 PM:
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I used the previous version of the commons math project for distribution sampling, but the fact that the cumulative density functions were hidden from the programmer caused some pain. The API in this version solves that issue, but it is not available in a release artifact yet.

Is there any indication of when a non-snapshot release of this version may be available? Is there anything I can to do help it along?

 

 


was (Author: jshook):
I used the previous version of the commons math project, but the fact that the cumulative density functions were hidden from the programmer caused some pain. This form solves that issue, but it is not available in a release artifact yet.

Is there any indication of when a non-snapshot release of this version may be available? Is there anything I can to do help it along?

 

 

> Migrate one-dimensional statistical distributions from "Commons Math"
> ---------------------------------------------------------------------
>
>                 Key: STATISTICS-2
>                 URL: https://issues.apache.org/jira/browse/STATISTICS-2
>             Project: Apache Commons Statistics
>          Issue Type: Wish
>          Components: distribution
>            Reporter: Gilles
>            Priority: Minor
>              Labels: api, dependency, design, interface
>
> I propose to migrate codes currently in {{org.apache.commons.math4.distribution}} to a "commons-statistics-distribution" module.
> Only the "one-dimensional" distributions are concerned (to avoid a dependency on the {{org.apache.commons.math4.linear}} package).
> {{EmpiricalDistribution}} and {{EnumeratedDistribution}} are also excluded from the move (about the latter see also RNG-47).
> Adaptation:
>  * Create sub-packages for
>  ** discrete distributions
>  ** continuous distributions
>  * Make custom exceptions (similar to pending work in "Commons Numbers": NUMBERS-40).
> Issue:
>  * Method
> {code:java}
> double inverseCumulativeProbability(double p){code}
> depends on a "solver" defined in {{org.apache.commons.math4.analysis.solvers}} package.
>  A solution would be to copy the necessary functionality ({{BrentSolver}}) as an "internal" utility.
>  Another would be to provide an API for "externalizing" the functionality:
> {code:java}
> double inverseCumulativeProbability(double p, RootSolver p){code}
> were {{RootSolver}} would an interface defined in "Commons Statistics". Since the solver is not always used for computing the requested value, the latter solution would make the API more "self-documenting". In addition to avoiding code duplication, it also lets the {{RootSolver}} provider deal with the meaning of any input parameter (a.o. the "tolerance") and, in effect, gives the user entire control on the solver.



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