nmslibR: Non Metric Space (Approximate) Library
A Non-Metric Space Library ('NMSLIB' <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/nmslib/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/nmslib/nmslib> 'Python' Library.
Version: |
1.0.7 |
Depends: |
R (≥ 3.2.3) |
Imports: |
Rcpp (≥ 0.12.7), reticulate, R6, Matrix, KernelKnn, utils, lifecycle |
LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.8.0) |
Suggests: |
testthat, covr, knitr, rmarkdown |
Published: |
2023-02-01 |
DOI: |
10.32614/CRAN.package.nmslibR |
Author: |
Lampros Mouselimis
[aut, cre],
B. Naidan [cph] (Author of the Non-Metric Space Library (NMSLIB)),
L. Boytsov [cph] (Author of the Non-Metric Space Library (NMSLIB)),
Yu. Malkov [cph] (Author of the Non-Metric Space Library (NMSLIB)),
B. Frederickson [cph] (Author of the Non-Metric Space Library (NMSLIB)),
D. Novak [cph] (Author of the Non-Metric Space Library (NMSLIB)) |
Maintainer: |
Lampros Mouselimis <mouselimislampros at gmail.com> |
BugReports: |
https://github.com/mlampros/nmslibR/issues |
License: |
Apache License (≥ 2.0) |
URL: |
https://github.com/mlampros/nmslibR |
NeedsCompilation: |
yes |
SystemRequirements: |
python3-dev: apt-get install -y python3-dev (deb),
python3-pip: apt-get install -y python3-pip (deb), numpy: pip3
install numpy (deb), scipy: pip3 install scipy (deb), nmslib:
pip3 install --no-binary :all: nmslib (deb) |
Citation: |
nmslibR citation info |
Materials: |
README NEWS |
CRAN checks: |
nmslibR results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=nmslibR
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