https://github.com/kaizhu256/node-fann-lite
pure javascript version of fann (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)
https://github.com/kaizhu256/node-fann-lite
Last synced: 10 days ago
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pure javascript version of fann (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)
- Host: GitHub
- URL: https://github.com/kaizhu256/node-fann-lite
- Owner: kaizhu256
- Created: 2015-06-11T02:19:54.000Z (almost 10 years ago)
- Default Branch: alpha
- Last Pushed: 2018-01-28T16:09:37.000Z (about 7 years ago)
- Last Synced: 2025-03-29T13:04:44.252Z (about 1 month ago)
- Language: JavaScript
- Homepage:
- Size: 6.05 MB
- Stars: 4
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
fann-lite
=========
pure javascript version of [fann](http://leenissen.dk/fann/) (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)
[](https://www.npmjs.org/package/fann-lite) [](https://www.npmjs.org/package/fann-lite)
# documentation (original c-api)
[http://leenissen.dk/fann/html/files2/gettingstarted-txt.html](http://leenissen.dk/fann/html/files2/gettingstarted-txt.html)
- currently only tested to work in chrome browser
# live test-server
[](https://hrku01-fann-lite-beta.herokuapp.com)
# build-status [](https://travis-ci.org/kaizhu256/node-fann-lite)
[](https://travis-ci.org/kaizhu256/node-fann-lite)
| git-branch : | [master](https://github.com/kaizhu256/node-fann-lite/tree/master) | [beta](https://github.com/kaizhu256/node-fann-lite/tree/beta) | [alpha](https://github.com/kaizhu256/node-fann-lite/tree/alpha)|
|--:|:--|:--|:--|
| test-server : | [](https://hrku01-fann-lite-master.herokuapp.com) | [](https://hrku01-fann-lite-beta.herokuapp.com) | [](https://hrku01-fann-lite-alpha.herokuapp.com)|
| coverage : | [](https://kaizhu256.github.io/node-fann-lite/build..master..travis-ci.org/coverage.html/index.html) | [](https://kaizhu256.github.io/node-fann-lite/build..beta..travis-ci.org/coverage.html/index.html) | [](https://kaizhu256.github.io/node-fann-lite/build..alpha..travis-ci.org/coverage.html/index.html)|
| build-artifacts : | [](https://github.com/kaizhu256/node-fann-lite/tree/gh-pages/build..master..travis-ci.org) | [](https://github.com/kaizhu256/node-fann-lite/tree/gh-pages/build..beta..travis-ci.org) | [](https://github.com/kaizhu256/node-fann-lite/tree/gh-pages/build..alpha..travis-ci.org)|
#### master branch
- stable branch
- HEAD should be tagged, npm-published package
#### beta branch
- semi-stable branch
- HEAD should be latest, npm-published package
#### alpha branch
- unstable branch
- HEAD is arbitrary
- commit history may be rewritten
# quickstart web example
#### to run this example, follow the instruction in the script below
- example.js
```javascript
/*
example.js
this node script will serve a web-page with an interactive neural net
instruction
1. save this script as example.js
2. run the shell command:
$ npm install fann-lite && node example.js
3. open a browser to http://localhost:1337
4. edit or paste script in browser to interact with the neural net
*/
/*jslint
browser: true,
maxerr: 8,
maxlen: 96,
node: true,
nomen: true,
stupid: true
*/
(function (local) {
'use strict';
// run node js-env code
(function () {
// require modules
local.fs = require('fs');
local.http = require('http');
local.path = require('path');
local.url = require('url');
// init assets
local['/'] = (String() +
/* jslint-ignore-begin */
'\n' +
'\n' +
'\n' +
'\n' +
'\n' +
'fann-lite [2015.6.1-a]\n' +
'\n' +
'\n' +
'\n' +
'* {\n' +
'box-sizing: border-box;\n' +
'}\n' +
'body {\n' +
'background-color: #fff;\n' +
'font-family: Helvetical Neue, Helvetica, Arial, sans-serif;\n' +
'}\n' +
'body > div {\n' +
'margin-top: 20px;\n' +
'}\n' +
'textarea {\n' +
'font-family: monospace;\n' +
'height: 32em;\n' +
'width: 100%;\n' +
'}\n' +
'.csslintOutputPre {\n' +
'color: #f00;\n' +
'}\n' +
'.fannOutputPre {\n' +
'color: #f00;\n' +
'}\n' +
'.testReportDiv {\n' +
'display: none;\n' +
'}\n' +
'\n' +
'\n' +
'\n' +
'
\n' +
'loading\n' +
'\n' +
'fann-lite [2015.6.1-a]
\n' +
'pure javascript version of fann (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)
\n' +
'\n' +
'\n' +
'// test\n' +
'local.ann = local.fann.create_standard(3, 2, 3, 1);\n' +
'local.data = local.fann\n' +
'.create_train_from_array(4, 2, 1, [-1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, -1]);\n' +
'local.fann\n' +
'.set_activation_function_hidden(local.ann, local.fann.ACTIVATION_SIGMOID_SYMMETRIC);\n' +
'local.fann.set_activation_function_output(local.ann, 5);\n' +
'local.fann.train_on_data(local.ann, local.data, 5000, 1000, 0.001);\n' +
'console.log("1 xor 1 -> " + local.fann.run(local.ann, [1, 1]));\n' +
'console.log("1 xor 0 -> " + local.fann.run(local.ann, [1, -1]));\n' +
'console.log("0 xor 1 -> " + local.fann.run(local.ann, [-1, 1]));\n' +
'\n' +
'\n' +
'\n' +
'\n' +
'\n' +
'\n' +
'window.utility2 = window.utility2 || {};\n' +
'window.utility2.envDict = {\n' +
'npm_package_description: "pure javascript version of fann (fast artificial neural net library) with zero npm-dependencies (compiled from emscripten)",\n' +
'npm_package_name: "fann-lite",\n' +
'npm_package_version: "2015.6.1-a"\n' +
'};\n' +
'document.querySelector(\n' +
'".fannInputTextarea"\n' +
').addEventListener("keyup", window.fann.fannInputTextarea);\n' +
'window.fann.fannInputTextarea();\n' +
'\n' +
'\n' +
'\n' +
'\n' +
/* jslint-ignore-end */
String()).replace((/\{\{envDict\.\w+?\}\}/g), function (match0) {
switch (match0) {
case '{{envDict.npm_package_description}}':
return 'this is an example module';
case '{{envDict.npm_package_name}}':
return 'example-module';
case '{{envDict.npm_package_version}}':
return '0.0.1';
default:
return '';
}
});
local['/assets/fann.js'] = local.fann['/assets/fann.js'];
local['/assets/utility2.css'] = '';
local['/assets/utility2.js'] = '';
local['/test/test.js'] = '';
// create server
local.server = local.http.createServer(function (request, response) {
switch (local.url.parse(request.url).pathname) {
// serve assets
case '/':
case '/assets/fann.js':
case '/assets/utility2.css':
case '/assets/utility2.js':
case '/test/test.js':
response.end(local[local.url.parse(request.url).pathname]);
break;
// default to 404 Not Found
default:
response.statusCode = 404;
response.end('404 Not Found');
}
});
if (process.env.npm_config_server_port) {
return;
}
// start server
local.serverPort = 1337;
console.log('server starting on port ' + local.serverPort);
local.server.listen(local.serverPort, function () {
// this internal build-code will screen-capture the server
// and then exit
if (process.env.MODE_BUILD === 'testExampleJs') {
console.log('server stopping on port ' + local.serverPort);
require(
process.env.npm_config_dir_utility2 + '/index.js'
).phantomScreenCapture({
url: 'http://localhost:' + local.serverPort
}, process.exit);
}
});
}());
}((function () {
'use strict';
var local;
// run shared js-env code
(function () {
// init local
local = {};
local.modeJs = (function () {
try {
return module.exports &&
typeof process.versions.node === 'string' &&
typeof require('http').createServer === 'function' &&
'node';
} catch (errorCaughtNode) {
return typeof navigator.userAgent === 'string' &&
typeof document.querySelector('body') === 'object' &&
'browser';
}
}());
// init global
local.global = local.modeJs === 'browser'
? window
: global;
// init fann-lite
local.fann = local.modeJs === 'browser'
? window.fann
: (function () {
try {
return require('fann-lite');
} catch (errorCaught) {
return require('./fann.js');
}
}());
// export local
module.exports = local;
}());
return local;
}())));
```
#### output from shell
[](https://travis-ci.org/kaizhu256/node-fann-lite)
#### output from phantomjs-lite
[](https://hrku01-fann-lite-beta.herokuapp.com)
# npm-dependencies
- none
# package-listing
[](https://github.com/kaizhu256/node-fann-lite)
# package.json
```json
{
"author": "kai zhu ",
"description": "pure javascript version of fann \
(fast artificial neural net library) with zero npm-dependencies \
(compiled from emscripten)",
"devDependencies": {
"phantomjs-lite": "^2015.7.1",
"utility2": "~2015.8.5"
},
"keywords": [
"ann",
"fann",
"net", "neural-net", "nn"
],
"license": "MIT",
"main": "fann.js",
"name": "fann-lite",
"os": ["darwin", "linux"],
"repository": {
"type": "git",
"url": "https://github.com/kaizhu256/node-fann-lite.git"
},
"scripts": {
"build-ci": "node_modules/.bin/utility2 shRun shReadmeBuild",
"start": "npm_config_mode_auto_restart=1 \
node_modules/.bin/utility2 shRun node test.js",
"test": "node_modules/.bin/utility2 shRun shReadmeExportPackageJson && \
node_modules/.bin/utility2 test test.js"
},
"version": "2015.8.1"
}
```
# todo
- add meaningful tests
- fix demo failure in firefox
- none
# change since commit 4931707a
- npm publish 2015.8.1
- update README.md
- none
# changelog of last 50 commits
[](https://github.com/kaizhu256/node-fann-lite/commits)
# internal build-script
- build.sh
```shell
# build.sh
# this shell script will run the build for this package
shBuild() {
# this function will run the main build
# init env
export npm_config_mode_phantomjs=0 || return $?
export npm_config_mode_slimerjs=1 || return $?
. node_modules/.bin/utility2 && shInit || return $?
# run npm-test on published package
shRun shNpmTestPublished || return $?
# test example js script
export npm_config_timeout_exit=10000 || return $?
MODE_BUILD=testExampleJs \
shRunScreenCapture shReadmeTestJs example.js || return $?
unset npm_config_timeout_exit || return $?
# run npm-test
MODE_BUILD=npmTest shRunScreenCapture npm test || return $?
# if running legacy-node, then do not continue
[ "$(node --version)" \< "v4.0" ] && return
# deploy app to heroku
shRun shHerokuDeploy hrku01-$npm_package_name-$CI_BRANCH || return $?
}
shBuild
# save exit-code
EXIT_CODE=$?
# create package-listing
MODE_BUILD=gitLsTree shRunScreenCapture shGitLsTree || exit $?
# create recent changelog of last 50 commits
MODE_BUILD=gitLog shRunScreenCapture git log -50 --pretty="%ai\u000a%B" || exit $?
# if running legacy-node, then do not continue
[ "$(node --version)" \< "v4.0" ] && exit $EXIT_CODE
# upload build-artifacts to github, and if number of commits > 16, then squash older commits
COMMIT_LIMIT=16 shBuildGithubUpload || exit $?
exit $EXIT_CODE
```