Package: otTensor 0.99.0

Koki Tsuyuzaki

otTensor: Optimal Tensor Transport

An optimal transport (OT) method, which can handle tensors of any order by learning possibly multiple transport plans. For the details of the methods, see Kerdoncuff et al. (2022) <doi:10.1609/aaai.v36i7.20695>.

Authors:Koki Tsuyuzaki [aut, cre]

otTensor_0.99.0.tar.gz
otTensor_0.99.0.zip(r-4.7)otTensor_0.99.0.zip(r-4.6)otTensor_0.99.0.zip(r-4.5)
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otTensor_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
otTensor/json (API)

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

Bug tracker:https://github.com/rikenbit/ottensor/issues

On CRAN:

Conda:

4.30 score 484 downloads 1 exports 0 dependencies

Last updated from:504b68b088. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK157
linux-release-x86_64OK94
macos-release-arm64OK97
macos-oldrel-arm64OK79
windows-develOK70
windows-releaseOK64
windows-oldrelOK77
wasm-releaseOK103

Exports:OTT

Dependencies:

Introduction to otTensor
What is Optimal Transport? | What is a Tensor? | The Problem OTT Solves | The Key Concept: the f Parameter | Quick Start Example | Step 1: Create two tensors | Step 2: Choose the f parameter | Step 3: Run OTT | Step 4: Inspect the results | Parameter Reference | What's Next? | Session Information | References
Rendered fromotTensor-1.Rmdusingknitr::rmarkdown

Last update: 2026-04-07
Started: 2023-03-24

Optimal Tensor Transport
Introduction | OTT_1 (OT) | OTT_12 (Co-OT) | OTT_11 (GW) | OTT_111 (triplets) | OTT_123 (triCo-OT) | OTT_112 (GW Collection) | Session Information | References
Rendered fromotTensor-2.Rmdusingknitr::rmarkdown

Last update: 2026-04-07
Started: 2023-03-24