JSPM

compute-l1norm

1.0.0
  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 282
  • Score
    100M100P100Q92413F

Computes the L1 norm (Manhattan norm) of an array of values.

Package Exports

  • compute-l1norm

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (compute-l1norm) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

L1 norm

NPM version Build Status Coverage Status Dependencies

Computes the L1 norm (Manhattan/Taxicab norm) of an array of values.

Installation

$ npm install compute-l1norm

For use in the browser, use browserify.

Usage

To use the module,

var l1norm = require( 'compute-l1norm' );

l1norm( arr )

Computes the L1 norm (Manhattan/Taxicab norm) of an array of values.

var data = [ 2, 7, 3, -3, 9 ];

var norm = l1norm( data );
// returns 24

Examples

var l1norm = require( 'compute-l1norm' );

var data = new Array( 1000 );
for ( var i = 0; i < data.length; i++ ) {
    data[ i ] = Math.random()*100 - 50;
}

console.log( l1norm( data ) );

To run the example code from the top-level application directory,

$ node ./examples/index.js

Tests

Unit

Unit tests use the Mocha test framework with Chai assertions. To run the tests, execute the following command in the top-level application directory:

$ make test

All new feature development should have corresponding unit tests to validate correct functionality.

Test Coverage

This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:

$ make test-cov

Istanbul creates a ./reports/coverage directory. To access an HTML version of the report,

$ make view-cov

License

MIT license.


Copyright © 2014. Athan Reines.