Computes the dot product between two given vectors.

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

dot function

<dl><dt>a</dt>
<dd>numeric vector</dd>
<dt>b</dt>
<dd>numeric vector</dd>
<dt>norm</dt>
<dd>logical, compute normalised dot product, default=True</dd></dl>

Arguments

Dot product similarity in vectors — dot

<dl>

<dt>a</dt>
<dd>numeric vector</dd>


<dt>b</dt>
<dd>numeric vector</dd>


<dt>norm</dt>
<dd>logical, compute normalised dot product, default=True</dd>

</dl>

dot: Dot product similarity in vectors

Description

Usage

Value

Arguments

Examples