Package: MDFS 1.5.5

Radosław Piliszek

MDFS: MultiDimensional Feature Selection

Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.

Authors:Radosław Piliszek [aut, cre], Krzysztof Mnich [aut], Paweł Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sułecki [aut], Witold Remigiusz Rudnicki [aut]

MDFS_1.5.5.tar.gz
MDFS_1.5.5.tar.gz(r-4.5-noble)MDFS_1.5.5.tar.gz(r-4.4-noble)
MDFS_1.5.5.tgz(r-4.4-emscripten)MDFS_1.5.5.tgz(r-4.3-emscripten)
MDFS.pdf |MDFS.html
MDFS/json (API)
NEWS

# Install 'MDFS' in R:
install.packages('MDFS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • madelon - An artificial dataset called MADELON

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

2.56 score 1 packages 24 scripts 403 downloads 5 mentions 12 exports 0 dependencies

Last updated 2 months agofrom:13a5904b30. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-linux-x86_64OKFeb 10 2025

Exports:AddContrastVariablesComputeInterestingTuplesComputeInterestingTuplesDiscreteComputeMaxInfoGainsComputeMaxInfoGainsDiscreteComputePValueDiscretizeGenContrastVariablesGetRangeMDFSmdfs_omp_set_num_threadsRelevantVariables

Dependencies: