Package: umap 0.2.11.0

umap: Uniform Manifold Approximation and Projection

Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arxiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).

Authors:Tomasz Konopka [aut, cre]

umap_0.2.11.0.tar.gz
umap_0.2.11.0.zip(r-4.7-x86_64)umap_0.2.11.0.zip(r-4.7-arm64)umap_0.2.11.0.zip(r-4.6-x86_64)umap_0.2.11.0.zip(r-4.6-arm64)umap_0.2.11.0.zip(r-4.5-x86_64)
umap_0.2.11.0.tgz(r-4.6-x86_64)umap_0.2.11.0.tgz(r-4.6-arm64)umap_0.2.11.0.tgz(r-4.5-x86_64)umap_0.2.11.0.tgz(r-4.5-arm64)
umap_0.2.11.0.tar.gz(r-4.7-arm64)umap_0.2.11.0.tar.gz(r-4.7-x86_64)umap_0.2.11.0.tar.gz(r-4.6-arm64)umap_0.2.11.0.tar.gz(r-4.6-x86_64)
umap_0.2.11.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
umap/json (API)

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

Bug tracker:https://github.com/tkonopka/umap/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

dimensionality-reductionumapcpp

13.27 score 135 stars 61 packages 5.8k scripts 13k downloads 24 mentions 3 exports 17 dependencies

Last updated from:9106cac8de. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK149
source / vignettesOK183
linux-release-arm64OK116
linux-release-x86_64OK148
macos-release-arm64OK254
macos-release-x86_64OK400
macos-oldrel-arm64OK230
macos-oldrel-x86_64OK479
windows-devel-arm64OK403
windows-devel-x86_64OK149
windows-release-arm64OK389
windows-release-x86_64OK180
windows-oldrel-x86_64OK169
wasm-releaseOK104

Exports:umapumap.defaultsumap.knn

Dependencies:askpassherejsonlitelatticeMatrixopensslpngrappdirsRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectrasyswithr

Uniform Manifold Approximation and Projection in R
Introduction | Overview | Creating a projection | Projecting new data | Tuning | Configuration objects | Additional arguments | Input types | Stability and reproducibility | Initial embedding | Prediction | Implementations | Appendix
Rendered fromumap.Rmdusingknitr::rmarkdown

Last update: 2023-02-01
Started: 2018-05-05

Interfacing with 'umap-learn'
Introduction | Usage | Tuning umap-learn | Discussion | Verifying arguments | Versions | Custom constructors | Appendix
Rendered fromumap_learn.Rmdusingknitr::rmarkdown

Last update: 2023-01-27
Started: 2018-07-16