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Read and write labelled sparse matrices in text format as used by software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with 'qid' field), and can handle header metadata and comments in files.
Version: | 0.1.5-6 |
Imports: | Rcpp (≥ 1.0.5), Matrix, methods |
LinkingTo: | Rcpp |
Suggests: | MatrixExtra, testthat |
Published: | 2023-11-27 |
DOI: | 10.32614/CRAN.package.readsparse |
Author: | David Cortes |
Maintainer: | David Cortes <david.cortes.rivera at gmail.com> |
BugReports: | https://github.com/david-cortes/readsparse/issues |
License: | BSD_2_clause + file LICENSE |
URL: | https://github.com/david-cortes/readsparse |
NeedsCompilation: | yes |
CRAN checks: | readsparse results |
Reference manual: | readsparse.pdf |
Package source: | readsparse_0.1.5-6.tar.gz |
Windows binaries: | r-devel: readsparse_0.1.5-6.zip, r-release: readsparse_0.1.5-6.zip, r-oldrel: readsparse_0.1.5-6.zip |
macOS binaries: | r-release (arm64): readsparse_0.1.5-6.tgz, r-oldrel (arm64): readsparse_0.1.5-6.tgz, r-release (x86_64): readsparse_0.1.5-6.tgz, r-oldrel (x86_64): readsparse_0.1.5-6.tgz |
Old sources: | readsparse archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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