normalise1d

Normalises a 1 dimensional vector towards unit p norm. By default, p = 2 is used.
For a given vector, eg: c(1,2,3), norm value is calculated as `x / |x|` where `|x|` is calculated
as the square root of sum of square of values in the given vector.

The idea is to provide a standard interface
to users who use both R and Python for building machine learning models.
This package provides a scikit-learn's fit, predict interface to
train machine learning models in R.

Manish Saraswat

superml

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

normalise1d function

<dl><dt>vec</dt>
<dd>vector containing integers or numeric values.</dd>
<dt>pnorm</dt>
<dd>integer, default: 2</dd></dl>

Arguments

normalise1d — normalise1d

<dl>

<dt>vec</dt>
<dd>vector containing integers or numeric values.</dd>


<dt>pnorm</dt>
<dd>integer, default: 2</dd>

</dl>

normalise1d: normalise1d

Description

Usage

Value

Arguments

Examples