cytoscape-marll

Description

Multi-agent Reinforcement Learning Layout extension implements multi-agent reiforcement learning version of classical force-directed and energy based graph layout algorithms. You can view a demo tool here.

Dependencies

• Cytoscape.js ^3.2.0
• reinforcejs

Usage instructions

Download the library:

• via npm: npm install cytoscape-marll,
• via bower: bower install cytoscape-marll, or
• via direct download in the repository (probably from a tag).

Import the library as appropriate for your project:

ES import:

import cytoscape from 'cytoscape';
import marll from 'cytoscape-marll';

cytoscape.use( marll );

CommonJS require:

let cytoscape = require('cytoscape');
let marll = require('cytoscape-marll');

cytoscape.use( marll ); // register extension

AMD:

require(['cytoscape', 'cytoscape-marll'], function( cytoscape, marll ){
  marll( cytoscape ); // register extension
});

Plain HTML/JS has the extension registered for you automatically, because no require() is needed.

API

TODO describe the API of the extension here.

Build targets

• npm run test : Run Mocha tests in ./test
• npm run build : Build ./src/** into cytoscape-marll.js
• npm run watch : Automatically build on changes with live reloading (N.b. you must already have an HTTP server running)
• npm run dev : Automatically build on changes with live reloading with webpack dev server
• npm run lint : Run eslint on the source

N.b. all builds use babel, so modern ES features can be used in the src.

Publishing instructions

This project is set up to automatically be published to npm and bower. To publish:

1. Build the extension : npm run build:release
2. Commit the build : git commit -am "Build for release"
3. Bump the version number and tag: npm version major|minor|patch
4. Push to origin: git push && git push --tags
5. Publish to npm: npm publish .
6. If publishing to bower for the first time, you'll need to run bower register cytoscape-marll https://github.com//.git
7. Make a new release for Zenodo.