readsparse: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats

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: 0.1.3
Imports: Rcpp (≥ 1.0.5), Matrix, methods
LinkingTo: Rcpp
Suggests: MatrixExtra, testthat
Published: 2021-06-22
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

Downloads:

Reference manual: readsparse.pdf
Package source: readsparse_0.1.3.tar.gz
Windows binaries: r-devel: readsparse_0.1.3.zip, r-devel-UCRT: readsparse_0.1.3.zip, r-release: readsparse_0.1.2-2.zip, r-oldrel: readsparse_0.1.2-2.zip
macOS binaries: r-release (arm64): readsparse_0.1.2-2.tgz, r-release (x86_64): readsparse_0.1.3.tgz, r-oldrel: readsparse_0.1.3.tgz
Old sources: readsparse archive

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