Package: T4transport 0.1.2

Kisung You

T4transport: Tools for Computational Optimal Transport

Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.

Authors:Kisung You [aut, cre]

T4transport_0.1.2.tar.gz
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T4transport.pdf |T4transport.html✨
T4transport/json (API)
NEWS

# Install 'T4transport' in R:
install.packages('T4transport', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • digit3 - MNIST Images of Digit 3
  • digits - MNIST Images of All Digits

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

1.70 score 1 stars 5 scripts 215 downloads 24 exports 18 dependencies

Last updated 2 years agofrom:781190454c. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linux-x86_64OKNov 11 2024

Exports:bary14Cbary14Cdistbary15Bbary15Bdistecdfbaryecdfmedgaussbary1dgaussbarypdgaussmed1dgaussmedpdgaussvis2dhistbary14Chistbary15Bhistmed22Yimagebary14Cimagebary15Bimagemed22YipotipotDsinkhornsinkhornDswdistwassersteinwassersteinD

Dependencies:bitbit64cliCVXRECOSolveRgmplatticelpSolveMatrixosqpR6rbibutilsRcppRcppArmadilloRcppEigenRdpackRmpfrscs