umap (version 0.2.2.0)

predict.umap: project data points onto an existing umap embedding

Description

project data points onto an existing umap embedding

Usage

# S3 method for umap
predict(object, data, ...)

Arguments

object

trained object of class umap

data

matrix with data

...

additional arguments (not used)

Value

new matrix

Examples

# NOT RUN {
# embedd iris dataset using default settings
iris.umap = umap(iris[,1:4])

# create a dataset with structure like iris, but with perturbation
iris.perturbed = iris[,1:4] + matrix(rnorm(nrow(iris)*4, 0, 0.1), ncol=4)

# project perturbed dataset
perturbed.embedding = predict(iris.umap, iris.perturbed)

# output is a matrix with embedding coordinates
head(perturbed.embedding)

# }