nmslibR: Non Metric Space (Approximate) Library

A Non-Metric Space Library ('NMSLIB' <https://github.com/searchivarius/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/searchivarius/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/searchivarius/nmslib> 'Python' Library.

Version: 1.0.1
Depends: R (≥ 3.2.3)
Imports: Rcpp (≥ 0.12.7), reticulate, R6, Matrix
LinkingTo: Rcpp, RcppArmadillo (≥ 0.8.0)
Suggests: testthat, covr, knitr, rmarkdown
Published: 2018-04-14
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: GPL-3
Copyright: inst/COPYRIGHTS
nmslibR copyright details
URL: https://github.com/mlampros/nmslibR
NeedsCompilation: yes
SystemRequirements: Python (>= 2.7), nmslib ( >= 1.7.1), scipy ( >= 1.0.0), numpy ( >= 1.14.0). Detailed installation instructions for each operating system can be found in the README file.
Materials: README NEWS
CRAN checks: nmslibR results

Downloads:

Reference manual: nmslibR.pdf
Vignettes: Non Metric Space ( Approximate ) Library in R
Package source: nmslibR_1.0.1.tar.gz
Windows binaries: r-prerel: nmslibR_1.0.1.zip, r-release: nmslibR_1.0.1.zip, r-oldrel: nmslibR_1.0.1.zip
OS X binaries: r-prerel: nmslibR_1.0.1.tgz, r-release: nmslibR_1.0.1.tgz
Old sources: nmslibR archive

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