dot: Dot product similarity in vectors
In superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
dot R Documentation
Dot product similarity in vectors
Description
Computes the dot product between two given vectors.
Usage
dot(a, b, norm = TRUE)
Arguments
a
numeric vector
b
numeric vector
norm
logical, compute normalised dot product, default=True
Value
numeric vector containing sdot product score
Examples
a <- runif(5)
b <- runif(5)
s <- dot(a, b)
superml documentation built on May 29, 2024, 1:09 a.m.
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.
| dot | R Documentation |
Dot product similarity in vectors
Description
Computes the dot product between two given vectors.
Usage
dot(a, b, norm = TRUE)
Arguments
a |
numeric vector |
b |
numeric vector |
norm |
logical, compute normalised dot product, default=True |
Value
numeric vector containing sdot product score
Examples
a <- runif(5)
b <- runif(5)
s <- dot(a, b)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.