npm install limdu

var limdu = require('limdu');

var colorClassifier = new limdu.classifiers.NeuralNetwork();

colorClassifier.trainBatch([
	{input: { r: 0.03, g: 0.7, b: 0.5 }, output: 0},  // black
	{input: { r: 0.16, g: 0.09, b: 0.2 }, output: 1}, // white
	{input: { r: 0.5, g: 0.5, b: 1.0 }, output: 1},   // white
	]);

console.log(colorClassifier.classify({ r: 1, g: 0.4, b: 0 }));  // 0.99 - white

var limdu = require('limdu');

var birdClassifier = new limdu.classifiers.Winnow({
	default_positive_weight: 1,
	default_negative_weight: 1,
	threshold: 0,
});

birdClassifier.trainOnline({'wings': 1, 'flight': 1, 'beak': 1, 'eagle': 1}, 1);  // eagle is a bird (1)
birdClassifier.trainOnline({'wings': 0, 'flight': 0, 'beak': 0, 'dog': 1}, 0);    // dog is not a bird (0)
console.dir(birdClassifier.classify({'wings': 1, 'flight': 0, 'beak': 0.5, 'penguin':1})); // initially, penguin is mistakenly classified as 0 - "not a bird"
console.dir(birdClassifier.classify({'wings': 1, 'flight': 0, 'beak': 0.5, 'penguin':1}, /*explanation level=*/4)); // why? because it does not fly.

birdClassifier.trainOnline({'wings': 1, 'flight': 0, 'beak': 1, 'penguin':1}, 1);  // learn that penguin is a bird, although it doesn't fly 
birdClassifier.trainOnline({'wings': 0, 'flight': 1, 'beak': 0, 'bat': 1}, 0);     // learn that bat is not a bird, although it does fly
console.dir(birdClassifier.classify({'wings': 1, 'flight': 0, 'beak': 1, 'chicken': 1})); // now, chicken is correctly classified as a bird, although it does not fly.  
console.dir(birdClassifier.classify({'wings': 1, 'flight': 0, 'beak': 1, 'chicken': 1}, /*explanation level=*/4)); // why?  because it has wings and beak.

var MyWinnow = limdu.classifiers.Winnow.bind(0, {
	default_positive_weight: 1,
	default_negative_weight: 1,
	threshold: 0,
});

var birdClassifier = new MyWinnow();
...
// continue as above

var MyWinnow = limdu.classifiers.Winnow.bind(0, {retrain_count: 10});

var intentClassifier = new limdu.classifiers.multilabel.BinaryRelevance({
	binaryClassifierType: MyWinnow
});

intentClassifier.trainBatch([
	{input: {I:1,want:1,an:1,apple:1}, output: "APPLE"},
	{input: {I:1,want:1,a:1,banana:1}, output: "BANANA"},
	{input: {I:1,want:1,chips:1}, output: "CHIPS"}
	]);

console.dir(intentClassifier.classify({I:1,want:1,an:1,apple:1,and:1,a:1,banana:1}));  // ['APPLE','BANANA']