normalise2d: normalise2d

In superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

normalise2d

Description

Normalises a matrix towards unit p norm row wise or column wise. By default, p = 2 is used. To normalise row wise, use axis=0. To normalise column wise, use axis=1. as the square root of sum of square of values in the given vector.

Usage

normalise2d(mat, pnorm = 2L, axis = 1L)

Arguments

mat	numeric matrix
pnorm	integer value, default value=2
axis	integer (0 or 1), row wise = 0, column wise = 1

Value

normalised numeric matrix

Examples

mat <- matrix(runif(12), 3, 4)

## normalise matrix row wise
r <- normalise2d(mat, axis=0)

## normalise matrix column wise
r <- normalise2d(mat, axis=1)

superml documentation built on Nov. 14, 2022, 9:05 a.m.