dotmat

Computes the dot product between a vector and a given matrix.
The vector returned has a dot product similarity value for each row in the matrix.

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

dotmat function

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

Arguments

Dot product similarity between a vector and matrix — dotmat

<dl>

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


<dt>b</dt>
<dd>numeric matrix</dd>


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

</dl>

dotmat: Dot product similarity between a vector and matrix

Description

Usage

Value

Arguments