https://github.com/tuananh/fasttext-native

fastText native bindings for ⬡.js
https://github.com/tuananh/fasttext-native

fasttext nodejs

Last synced: 6 months ago
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fastText native bindings for ⬡.js

• Host: GitHub
• URL: https://github.com/tuananh/fasttext-native
• Owner: tuananh
• Created: 2017-12-03T15:40:23.000Z (almost 8 years ago)
• Default Branch: develop
• Last Pushed: 2017-12-04T15:59:38.000Z (almost 8 years ago)
• Last Synced: 2025-03-24T19:22:07.684Z (7 months ago)
• Topics: fasttext, nodejs
• Language: C++
• Size: 197 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# fasttext-native

> fastText native bindings for ⬡.js

[![npm](https://img.shields.io/npm/v/fasttext-native.svg?style=flat-square)](https://npm.im/fasttext-native)

[![Travis](https://img.shields.io/travis/tuananh/fasttext-native/develop.svg?label=Linux%20%26%20macOS%20build&style=flat-square)](https://travis-ci.org/tuananh/fasttext-native)

[![David](https://img.shields.io/david/tuananh/fasttext-native.svg?style=flat-square)](https://david-dm.org/tuananh/fasttext-native)

Forked from [pragonauts's fast-text](https://github.com/pragonauts/fast-text)

## Features

- Executing prediction models

- Searching nearest neighbour

- Prebuilt binaries for Linux and macOS (Windows is not supported by fastText)

- Tracking latest fastText upstream version (currently version 0.1.0)

## Usage

### Prediction

There is a simple class for executing prediction models:

```javascript

const path = require('path')

const { Classifier } = require('fasttext-native')

const model = path.resolve(__dirname, './classification.bin')

const classifier = new Classifier(model)

classifier.predict('how it works', 1, (err, res) => {

  if (err) {

    console.error(err)

  } else if (res.length > 0) {

    const tag = res[0].label // __label__someTag

    const score = res[0].valuel // 1.3455345

  } else {

    console.log('No matches')

  }

})

```

### Nearest neighbour

There is a simple class for searching nearest neighbours:

```javascript

const path = require('path')

const { Query } = require('fasttext-native')

const model = path.resolve(__dirname, './skipgram.bin')

const query = new Query(model)

query.nn('word', 10, (err, res) => {

  if (err) {

    console.error(err)

  } else if (res.length > 0) {

    const tag = res[0].label // letter

    const score = res[0].valuel // 0.99992

  } else {

    console.log('No matches')

  }

})

```