Paket: r-cran-uwot (0.1.10-1)

r-cran-uwot için bağlantılar

Debian Kaynakları:

r-cran-uwot Kaynak Paketini İndir:

Geliştiriciler:

Dış Kaynaklar:

Ana Sayfa [cran.r-project.org]

Benzer paketler:

GNU R uniform manifold approximation and projection (UMAP)

An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided.

This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.

r-cran-uwot ile İlgili Diğer Paketler

bağımlılıklar

tavsiye edilen

önerilen

enhances

dep: libc6 (>= 2.29)

GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
dep: libgcc-s1 (>= 3.5)

GCC support library
dep: libstdc++6 (>= 6)

GNU Standard C++ Library v3
dep: r-api-4.0

sanal paketi sağlayan r-base-core
dep: r-base-core (>= 4.0.3-1)

GNU R core of statistical computation and graphics system
dep: r-cran-dqrng

GNU R fast pseudo random number generators
dep: r-cran-fnn

GNU R fast nearest neighbor search algorithms and applications
dep: r-cran-irlba

GNU R fast truncated SVD, PCA and symmetric eigendecomposition
dep: r-cran-matrix

GNU R package of classes for dense and sparse matrices
dep: r-cran-rcpp

GNU R package for Seamless R and C++ Integration
dep: r-cran-rcppannoy (>= 0.0.17)

Rcpp bindings for Annoy (approximate nearest neighbors)
dep: r-cran-rcppprogress

interruptible progress bar for C++ in GNU R packages
dep: r-cran-rspectra

GNU R solvers for large-scale eigenvalue and SVD problems

rec: r-cran-testthat

GNU R testsuite

sug: r-cran-covr

test coverage for GNU R packages

r-cran-uwot indir

Tüm mevcut mimariler için indir
Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
armhf	336,7 kB	633,0 kB	[dosya listesi]