KO
|
EN
gitlite — search
Search
#typescript
#ai-agents
#ai
#dsh-plugin
#deepseek-harness
#open-source
#cli
#claude-code
#codex
#developer-tools
#react
#windows
node-crfsuite
★ 14
Open GitHub ↗
A nodejs binding for crfsuite
Download README (.md)
Explore Similar Repositories
crfs-rs
:
Pure Rust port of CRFsuite: a fast implementation of Conditional Random Fields (CRFs)
crfsuite-rs
:
Rust binding to crfsuite
spacy_crfsuite
:
sequence tagging with spaCy and crfsuite
scikitcrf_NER
:
Python library for custom entity recognition using Sklearn CRF
mmCRFseg
:
mmCRFseg: Word Segmentation for Myanmar Language using Conditional Random Fields
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
node-crfsuite
?
Download (.md)
# node-crfsuite A nodejs binding for crfsuite [](https://raw.githubusercontent.com/vunb/node-crfsuite/master/LICENSE) [](https://www.npmjs.com/package/crfsuite) [](https://www.npmjs.com/package/crfsuite) [](https://travis-ci.org/vunb/node-crfsuite) [](https://ci.appveyor.com/project/vunb/node-crfsuite/branch/master) > This is a link to the CRFSuite library written by Naoaki Okazaki. CRF or Conditional Random Fields are a class of statistical modeling method often applied in pattern recognition and machine learning and used for structured prediction. # Installation For most "standard" use cases (on Mac, Linux, or Windows on a x86 or x64 processor), `node-crfsuite` will install easy with: > npm install crfsuite # API Usage ## CRFSuite Tagger ```js const crfsuite = require('crfsuite') const tagger = new crfsuite.Tagger() let is_opened = tagger.open('./path/to/crf.model') console.log('File model is opened:', is_opened) let tags = tagger.tag(input) console.log('Tags: ', tags) ``` ## CRFSuite Trainer ```js const path = require('path') const crfsuite = require('crfsuite') const trainer = new crfsuite.Trainer({ debug: true }) let model_filename = path.resolve('./model.crfsuite') let xseq = [['walk'], ['walk', 'shop'], ['clean', 'shop']] let yseq = ['sunny', 'sunny', 'rainy'] // submit training data to the trainer trainer.append(xseq, yseq) trainer.train(model_filename) // output: ./model.crfsuite ``` # Installation Special Cases We use [node-pre-gyp](https://github.com/mapbox/node-pre-gyp) to compile and publish binaries of the library for most common use cases (Linux, Mac, Windows on standard processor platforms). If you have a special case, `node-crfsuite` will work, but it will compile the binary during the install. Compiling with nodejs is done via [node-gyp](https://github.com/nodejs/node-gyp) which requires Python 2.x, so please ensure you have it installed and in your path for all operating systems. Python 3.x will not work. * See [node-gyp installation prerequisites](https://github.com/nodejs/node-gyp#installation). ## Build from source ```bash # clone the project git clone --recursive https://github.com/vunb/node-crfsuite.git # go to working folder cd node-crfsuite # install dependencies and build the binary npm install ``` For development: ```bash # rebuild npm run build # run unit-test npm test ``` # Change Log ### 2020-03-07: Release version 1.0.1 * Add an options parameter to pass to a Trainer with a debug property to avoid writing logs to stdout. ([17](https://github.com/vunb/node-crfsuite/pull/17)) ([mathquis](https://github.com/mathquis)) * Update typescript declaration file ### 2019-07-18: Release version 1.0.0 * Convert all sources to use N-API, remove `nan` * Add typescript declaration file * Cleanup package dependencies * CI Tool run & test only in node version 10 LTS * Add project convention: `.gitattributes`, `.editorconfig` * Enforced to use `new` keyword to create new **Tagger** and **Trainer** ### 2019-06-09: uses N-API From `crfsuite@0.9.6` the library uses `N-API` to use the binary in multiple version of Node. * [Acording to Node.js Foundation](https://medium.com/the-node-js-collection/4f35b781f00e): With N-API, native module developers can compile their module once per platform and architecture, and make it available for any version of Node.js that implements N-API. This holds true even for versions of Node.js that are built with a different VM, e.g. [Node-ChakraCore](https://github.com/nodejs/node-chakracore/). # Contributing Pull requests and stars are highly welcome. For bugs and feature requests, please [create an issue](https://github.com/vunb/node-crfsuite/issues/new).
