Package: readsparse 0.1.5-6

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

readsparse_0.1.5-6.tar.gz
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readsparse_0.1.5-6.tgz(r-4.4-x86_64)readsparse_0.1.5-6.tgz(r-4.4-arm64)readsparse_0.1.5-6.tgz(r-4.3-x86_64)readsparse_0.1.5-6.tgz(r-4.3-arm64)
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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'))

Peer review:

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

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

On CRAN:

libsvmsparse-matricessvmlight

4.32 score 8 stars 13 scripts 284 downloads 2 exports 3 dependencies

Last updated 5 months agofrom:b755e194d5. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-win-x86_64NOTENov 15 2024
R-4.5-linux-x86_64NOTENov 15 2024
R-4.4-win-x86_64NOTENov 15 2024
R-4.4-mac-x86_64NOTENov 15 2024
R-4.4-mac-aarch64NOTENov 15 2024
R-4.3-win-x86_64OKNov 15 2024
R-4.3-mac-x86_64NOTENov 15 2024
R-4.3-mac-aarch64NOTENov 15 2024

Exports:read.sparsewrite.sparse

Dependencies:latticeMatrixRcpp