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readsparse  

Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats
View on CRAN: Click here


Download and install readsparse package within the R console
Install from CRAN:
install.packages("readsparse")

Install from Github:
library("remotes")
install_github("cran/readsparse")

Install by package version:
library("remotes")
install_version("readsparse", "0.1.5-6")



Attach the package and use:
library("readsparse")
Maintained by
David Cortes
[Scholar Profile | Author Map]
First Published: 2021-04-06
Latest Update: 2023-11-27
Description:
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.
How to cite:
David Cortes (2021). readsparse: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats. R package version 0.1.5-6, https://cran.r-project.org/web/packages/readsparse. Accessed 09 Jan. 2025.
Previous versions and publish date:
0.1.1-2 (2021-04-06 10:20), 0.1.2-1 (2021-04-13 01:20), 0.1.2-2 (2021-05-20 21:30), 0.1.2 (2021-04-08 00:40), 0.1.3 (2021-06-22 06:40), 0.1.5-1 (2021-10-14 06:30), 0.1.5-2 (2022-08-06 21:40), 0.1.5-3 (2022-08-15 23:40), 0.1.5-5 (2023-11-13 11:50), 0.1.5 (2021-09-07 06:50)
Other packages that cited readsparse R package
View readsparse citation profile
Other R packages that readsparse depends, imports, suggests or enhances
Complete documentation for readsparse
Functions, R codes and Examples using the readsparse R package
Some associated functions: read.sparse . write.sparse . 
Some associated R codes: RcppExports.R . read_sparse.R .  Full readsparse package functions and examples
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