@stdlib/assert-is-unity-probability-array
TypeScript icon, indicating that this package has built-in type declarations

0.2.1 • Public • Published
About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

isUnityProbabilityArray

NPM version Build Status Coverage Status

Test if a value is an array of probabilities that sum to one.

Installation

npm install @stdlib/assert-is-unity-probability-array

Usage

var isUnityProbabilityArray = require( '@stdlib/assert-is-unity-probability-array' );

isUnityProbabilityArray( value )

Tests if a value is an array of probabilities that sum to one.

var Uint8Array = require( '@stdlib/array-uint8' );

var bool = isUnityProbabilityArray( [ 0.25, 0.5, 0.25 ] );
// returns true

bool = isUnityProbabilityArray( new Uint8Array( [ 0, 1 ] ) );
// returns true

bool = isUnityProbabilityArray( [ 3.14, 0.0 ] );
// returns false

Notes

  • Summation of finite-precision floating-point numbers often has numerical error. For example,

    var arr = [ 0.1, 0.2, 0.1, 0.1, 0.2, 0.2, 0.1 ]; // => 1.0
    var sum = 0.0;
    var i;
    for ( i = 0; i < arr.length; i++ ) {
        sum += arr[ i ];
    }
    console.log( sum );
    // => 0.9999999999999999

    To account for numerical error, the function tests if array elements sum to approximately one; specifically,

    1.0 - sqrt(eps) <= sum(A) <= 1.0 + sqrt(eps)
    

    where eps is double-precision floating-point epsilon (~2.22e-16) and sqrt(eps) ~ 1.49e-8. The above comparison ensures equality for approximately half the significand bits.

Examples

var Uint8Array = require( '@stdlib/array-uint8' );
var isUnityProbabilityArray = require( '@stdlib/assert-is-unity-probability-array' );

var arr = [ 0.0, 1.0 ];
var bool = isUnityProbabilityArray( arr );
// returns true

arr = [ 0.5, 0.25, 0.25 ];
bool = isUnityProbabilityArray( arr );
// returns true

arr = new Uint8Array( [ 0, 0, 1, 0 ] );
bool = isUnityProbabilityArray( arr );
// returns true

arr = [ 0.4, 0.4, 0.4 ];
bool = isUnityProbabilityArray( arr );
// returns false

arr = [ 3.14, -1.0 ];
bool = isUnityProbabilityArray( arr );
// returns false

bool = isUnityProbabilityArray( [] );
// returns false

bool = isUnityProbabilityArray( null );
// returns false

See Also


Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.

Package Sidebar

Install

npm i @stdlib/assert-is-unity-probability-array

Homepage

stdlib.io

Weekly Downloads

917

Version

0.2.1

License

Apache-2.0

Unpacked Size

30.6 kB

Total Files

11

Last publish

Collaborators

  • stdlib-bot
  • kgryte
  • planeshifter
  • rreusser