Non-Metric Space Library (NMSLIB) is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the project is to create an effective and comprehensive toolkit for searching in generic and non-metric spaces. Even though the library contains a variety of metric-space access methods, our main focus is on generic and approximate search methods, in particular, on methods for non-metric spaces. NMSLIB is possibly the first library with a principled support for non-metric space searching.
Uploaded | Mon Mar 31 00:16:05 2025 |
md5 checksum | 75e413b8f4de2dca41ea140fae343c1e |
arch | x86_64 |
build | py39h3c18c91_0 |
depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, psutil, pybind11 >=2.2.3, python >=3.9,<3.10.0a0 |
license | Apache-2.0 |
license_family | Apache |
md5 | 75e413b8f4de2dca41ea140fae343c1e |
name | nmslib |
platform | linux |
sha1 | b956cdaf0aa01185cc715ab4cb53ee750f634fdb |
sha256 | 894f464336731c43277c7e3ab9c95e0bef25e5680cf9e516c67f610647e54637 |
size | 676160 |
subdir | linux-64 |
timestamp | 1685619254695 |
version | 2.1.1 |