tests/testthat/test_rand_init.R
In jlmelville/uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
library(uwot)
context("Random initialization")
n_vertices <- 10
res_rand <- rand_init(n_vertices, ndim = 2, verbose = FALSE)
expect_ok_matrix(rand_init(n_vertices, ndim = 2, verbose = FALSE))
expect_ok_matrix(rand_init_lv(n_vertices, ndim = 2, verbose = FALSE))
expect_ok_matrix(rand_init(n_vertices, ndim = 1, verbose = FALSE), nc = 1)
expect_ok_matrix(rand_init_lv(n_vertices, ndim = 1, verbose = FALSE), nc = 1)
jlmelville/uwot documentation built on April 19, 2024, 9:31 p.m.
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library(uwot)
context("Random initialization")
n_vertices <- 10
res_rand <- rand_init(n_vertices, ndim = 2, verbose = FALSE)
expect_ok_matrix(rand_init(n_vertices, ndim = 2, verbose = FALSE))
expect_ok_matrix(rand_init_lv(n_vertices, ndim = 2, verbose = FALSE))
expect_ok_matrix(rand_init(n_vertices, ndim = 1, verbose = FALSE), nc = 1)
expect_ok_matrix(rand_init_lv(n_vertices, ndim = 1, verbose = FALSE), nc = 1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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