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

4.41 score 8 stars 13 scripts 277 downloads 2 exports 3 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 16 2024
R-4.5-win-x86_64	NOTE	Oct 16 2024
R-4.5-linux-x86_64	NOTE	Oct 16 2024
R-4.4-win-x86_64	NOTE	Oct 16 2024
R-4.4-mac-x86_64	NOTE	Oct 16 2024
R-4.4-mac-aarch64	NOTE	Oct 16 2024
R-4.3-win-x86_64	OK	Oct 16 2024
R-4.3-mac-x86_64	NOTE	Oct 16 2024
R-4.3-mac-aarch64	NOTE	Oct 16 2024