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]

# 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

3.75 score 8 stars 14 scripts 315 downloads 2 exports 3 dependencies

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

Target	Result	Time
linux-devel-arm64	NOTE	175
linux-devel-x86_64	NOTE	155
source / vignettes	OK	209
linux-release-arm64	NOTE	121
linux-release-x86_64	NOTE	139
macos-release-arm64	NOTE	122
macos-release-x86_64	NOTE	339
macos-oldrel-arm64	NOTE	109
macos-oldrel-x86_64	NOTE	256
windows-devel-arm64	NOTE	239
windows-devel-x86_64	NOTE	137
windows-release-arm64	NOTE	203
windows-release-x86_64	NOTE	125
windows-oldrel-x86_64	NOTE	127
wasm-release	OK	136