skPWD: use sklearn pairwise_distances procedure

In vjcitn/BiocSklearn: interface to python sklearn via Rstudio reticulate

use sklearn pairwise_distances procedure

Description

use sklearn pairwise_distances procedure

Usage

skPWD(mat, ...)

Arguments

mat	a matrix – can be R matrix or numpy.ndarray
...	additional parameters passed to sklearn.metrics.pairwise_distances, for additional information use py_help() on a reticulate-imported sklearn.metrics.pairwise_distances instance.

Value

matrix with rotation

Note

If no additional arguments are passed, all defaults are used.

Examples

irloc = system.file("csv/iris.csv", package="BiocSklearn")
data(iris)
irismat = as.matrix(iris[,1:4]) 
chk1 = skPWD(irismat)
chk1[1:4,1:5]
chk2 = skPWD(irismat, metric='manhattan')
chk2[1:4,1:5]

vjcitn/BiocSklearn documentation built on Aug. 30, 2024, 2:13 p.m.