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
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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

3.83 score 8 stars 17 scripts 356 downloads 2 exports 3 dependencies

Last updated from:3ffa4ad0b0. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE125
linux-devel-x86_64NOTE172
source / vignettesOK304
linux-release-arm64NOTE251
linux-release-x86_64NOTE208
macos-release-arm64NOTE119
macos-release-x86_64NOTE355
macos-oldrel-arm64NOTE119
macos-oldrel-x86_64NOTE196
windows-devel-arm64NOTE241
windows-devel-x86_64NOTE156
windows-release-arm64NOTE268
windows-release-x86_64NOTE349
windows-oldrel-x86_64NOTE121
wasm-releaseOK242

Exports:read.sparsewrite.sparse

Dependencies:latticeMatrixRcpp