superml: normalise2d – R documentation

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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 = 0L)

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

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

v0.5.3

GPL-3 | file LICENSE

Authors

Manish Saraswat [aut, cre]

Initial release