normalise1d: normalise1d
In superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
normalise1d R Documentation
normalise1d
Description
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.
Usage
normalise1d(vec, pnorm = 2L)
Arguments
vec
vector containing integers or numeric values.
pnorm
integer, default: 2
Value
a vector containing normalised values
Examples
val <- c(1,10,5,3,8)
norm_val <- normalise1d(val)
superml documentation built on May 29, 2024, 1:09 a.m.
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| normalise1d | R Documentation |
normalise1d
Description
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.
Usage
normalise1d(vec, pnorm = 2L)
Arguments
vec |
vector containing integers or numeric values. |
pnorm |
integer, default: 2 |
Value
a vector containing normalised values
Examples
val <- c(1,10,5,3,8)
norm_val <- normalise1d(val)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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