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-any)otTensor_0.99.0.zip(r-4.6-any)otTensor_0.99.0.zip(r-4.5-any)
otTensor_0.99.0.tgz(r-4.6-any)otTensor_0.99.0.tgz(r-4.5-any)
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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 249 downloads 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK105
source / vignettesOK166
linux-releaseOK149
macos-releaseOK98
macos-oldrelOK70
windows-develOK69
windows-releaseOK70
windows-oldrelOK57
wasm-releaseOK88

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

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

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