Package: readsparse 0.1.5-8

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.

Authors:David Cortes [aut, cre, cph]

readsparse_0.1.5-8.tar.gz
readsparse_0.1.5-8.zip(r-4.7)readsparse_0.1.5-8.zip(r-4.6)readsparse_0.1.5-8.zip(r-4.5)
readsparse_0.1.5-8.tgz(r-4.6-x86_64)readsparse_0.1.5-8.tgz(r-4.6-arm64)readsparse_0.1.5-8.tgz(r-4.5-x86_64)readsparse_0.1.5-8.tgz(r-4.5-arm64)
readsparse_0.1.5-8.tar.gz(r-4.7-arm64)readsparse_0.1.5-8.tar.gz(r-4.7-x86_64)readsparse_0.1.5-8.tar.gz(r-4.6-arm64)readsparse_0.1.5-8.tar.gz(r-4.6-x86_64)
readsparse_0.1.5-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
readsparse/json (API)

# Install 'readsparse' in R:
install.packages('readsparse', repos = c('https://david-cortes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/david-cortes/readsparse/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

libsvmsparse-matricessvmlightcpp

3.72 score 8 stars 13 scripts 180 downloads 2 exports 3 dependencies

Last updated from:3ffa4ad0b0. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE134
linux-devel-x86_64NOTE139
source / vignettesOK197
linux-release-arm64NOTE136
linux-release-x86_64NOTE130
macos-release-arm64NOTE123
macos-release-x86_64NOTE266
macos-oldrel-arm64NOTE124
macos-oldrel-x86_64NOTE360
windows-develNOTE133
windows-releaseNOTE131
windows-oldrelNOTE133
wasm-releaseOK106

Exports:read.sparsewrite.sparse

Dependencies:latticeMatrixRcpp