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.pdf |readsparse.html✨
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

4.48 score 8 stars 15 scripts 370 downloads 2 exports 3 dependencies

Last updated 20 days agofrom:a994358f39. Checks:2 OK, 9 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-win-x86_64NOTEFeb 17 2025
R-4.5-mac-x86_64NOTEFeb 17 2025
R-4.5-mac-aarch64NOTEFeb 17 2025
R-4.5-linux-x86_64NOTEFeb 17 2025
R-4.4-win-x86_64NOTEFeb 17 2025
R-4.4-mac-x86_64NOTEFeb 17 2025
R-4.4-mac-aarch64NOTEFeb 17 2025
R-4.3-win-x86_64OKFeb 17 2025
R-4.3-mac-x86_64NOTEFeb 17 2025
R-4.3-mac-aarch64NOTEFeb 17 2025

Exports:read.sparsewrite.sparse

Dependencies:latticeMatrixRcpp