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CRAN: Package nmslibR

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

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