https://github.com/eddelbuettel/rcppannoy

Rcpp bindings for Annoy
https://github.com/eddelbuettel/rcppannoy

annoy cran nearest nearest-neighbors r r-package

Last synced: 5 days ago
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Rcpp bindings for Annoy

• Host: GitHub
• URL: https://github.com/eddelbuettel/rcppannoy
• Owner: eddelbuettel
• License: gpl-2.0
• Created: 2014-11-08T21:12:21.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2024-09-06T21:14:48.000Z (2 months ago)
• Last Synced: 2024-10-12T21:26:08.051Z (25 days ago)
• Topics: annoy, cran, nearest, nearest-neighbors, r, r-package
• Language: C++
• Homepage:
• Size: 936 KB
• Stars: 72
• Watchers: 9
• Forks: 23
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • License: LICENSE

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README

        
## RcppAnnoy: Rcpp bindings for [Annoy](https://github.com/spotify/annoy)

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[![Last Commit](https://img.shields.io/github/last-commit/eddelbuettel/rcppannoy)](https://github.com/eddelbuettel/rcppannoy)

### What is Annoy?

[Annoy](https://github.com/spotify/annoy) is a small, fast and lightweight library for

Approximate Nearest Neighbours with a particular focus on efficient memory use and the

ability to load a pre-saved index.

[Annoy](https://github.com/spotify/annoy) is written by [Erik

Bernhardsson](https://erikbern.com/). See its page for more on features, its (Python) API,

and the other language ports. [Annoy](https://github.com/spotify/annoy) is part of the

esteemed _let us find other music you may like_ algorithm by

[Spotify](https://github.com/spotify/). 

### Why this package?

It provides a nice example for Rcpp Modules and use of templates: Annoy uses

a clean C++ core with templated data type, as well as several distance

measures.  This package shows that it is easy to wrap both aspects from R giving us

multi-lingual approaches to data discovery and machine learning.

### Status

The package matches the behaviour of the original Python package in the

original Python wrapper for the [Annoy](https://github.com/spotify/annoy)

library. It also replicates all unit tests written for the Python frontend,

including a test for efficiently `mmap`-ing a binary index file.

The package originally built on Linux and OS X, and thanks to a patch by

[Qiang Kou](https://github.com/thirdwing) now also builds on Windows.

### Installation

You can either install from source via this repo, or install

[the CRAN package](https://cran.r-project.org/package=RcppAnnoy) the usual

way from [R](https://www.r-project.org).

### Author

Dirk Eddelbuettel

### License

GPL (>= 2)