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✨
DESCRIPTION
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

3.75 score 8 stars 14 scripts 321 downloads 2 exports 3 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE165
linux-devel-x86_64NOTE141
source / vignettesOK199
linux-release-arm64NOTE141
linux-release-x86_64NOTE136
macos-release-arm64NOTE108
macos-release-x86_64NOTE281
macos-oldrel-arm64NOTE102
macos-oldrel-x86_64NOTE241
windows-develNOTE124
windows-releaseNOTE117
windows-oldrelNOTE119
wasm-releaseOK137

Exports:read.sparsewrite.sparse

Dependencies:latticeMatrixRcpp