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@kanaries/ml

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@kanaries/ml

machine learning lib in javascript

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npmnpm
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0.0.11
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@kanaries/ml

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@kanaries/ml is a JavaScript/TypeScript library that provides a set of machine learning algorithms with an API similar to scikit-learn. It works in both browsers and Node.js environments.

Features

  • Classification and regression trees
  • k-nearest neighbors
  • Support vector machines
  • Naive Bayes classifier
  • Clustering algorithms (KMeans, DBSCAN, OPTICS, Mean Shift, HDBSCAN)
  • Dimensionality reduction (PCA)
  • Manifold learning (t-SNE)
  • Basic linear algebra utilities

Installation

# using yarn
yarn add @kanaries/ml

# or npm
npm install @kanaries/ml

Quick Start

import { Neighbors } from '@kanaries/ml';

const trainX = [
    [0.12, 0.2, /* ... */ 0.2],
    [0.21, 0.3, /* ... */ 0.2],
];
const trainY = [0, 1];

const knn = new Neighbors.KNearstNeighbors(3, 'distance', '2-norm');
knn.fit(trainX, trainY);

const testX = [
    [0.52, 0.72, /* ... */ 0.24],
    [0.11, 0.98, /* ... */ 0.32],
];
const result = knn.predict(testX);
console.log(result);

Supported Algorithms

The library exposes several categories of algorithms:

  • Tree: DecisionTreeClassifier, DecisionTreeRegressor, ExtraTreeClassifier, ExtraTreeRegressor
  • Neighbors: KNearstNeighbors, BallTree, KDTree
  • Linear Models: LinearRegression, LogisticRegression
  • Support Vector Machines: SVC, NuSVC, LinearSVC
  • Naive Bayes: BernoulliNB, CategoricalNB
  • Clustering: KMeans, kmeansPlusPlus, DBScan, OPTICS, MeanShift, HDBScan
  • Decomposition: PCA
  • Manifold Learning: SpectralEmbedding, MDS, LocallyLinearEmbedding, TSNE
  • Ensemble: IsolationForest, AdaBoostClassifier
  • Utilities: linear algebra helpers and math functions

Advanced Features

asyncMode

asyncMode runs a synchronous function in a worker (Web Worker or Node.js worker thread) and returns a Promise.

import { utils } from '@kanaries/ml';

const heavy = (x: number) => x * x;
const runAsync = utils.asyncMode(heavy);

const result = await runAsync(5);

Development

# Install dependencies
yarn

# Run tests
npm run test

# Build the library
yarn build

# Start the example development server
yarn dev

Keywords

machine learning

FAQs

Package last updated on 22 Jun 2025

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