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)
readsparse_0.1.5-6.tar.gz(r-4.5-noble)readsparse_0.1.5-6.tar.gz(r-4.4-noble)
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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:

libsvm sparse-matrices svmlight cpp

4.19 score 8 stars 13 scripts 244 downloads 2 exports 3 dependencies

Last updated 16 days agofrom:9e9ab780bc. Checks:2 OK, 7 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 06 2025
R-4.5-win-x86_64	NOTE	Jan 06 2025
R-4.5-linux-x86_64	NOTE	Jan 06 2025
R-4.4-win-x86_64	NOTE	Jan 06 2025
R-4.4-mac-x86_64	NOTE	Jan 06 2025
R-4.4-mac-aarch64	NOTE	Jan 06 2025
R-4.3-win-x86_64	OK	Jan 06 2025
R-4.3-mac-x86_64	NOTE	Jan 06 2025
R-4.3-mac-aarch64	NOTE	Jan 06 2025