Linear

`Linear()` computes the inner product between all possible pairs of rows of a
matrix or data.frame with dimension NxD.

Kernel functions for diverse types of data (including, but not
restricted to: nonnegative and real vectors, real matrices, categorical
and ordinal variables, sets, strings), plus other utilities like kernel
similarity, kernel Principal Components Analysis (PCA) and features'
importance for Support Vector Machines (SVMs), which expand other 'R'
packages like 'kernlab'.

Elies Ramon

kerntools

Kernel Functions and Tools for Machine Learning Applications

Linear function

<dl><dt>X</dt>
<dd>Matrix or data.frame that contains real numbers ("integer", "float" or "double").</dd>
<dt>cos.norm</dt>
<dd>Should the resulting kernel matrix be cosine normalized? (Defaults: FALSE).</dd>
<dt>coeff</dt>
<dd>(optional) A vector of length D that weights each one of the
features (columns). When cos.norm=TRUE, `Linear()` first does the weighting and
then the cosine-normalization.</dd></dl>

Arguments

Linear kernel — Linear

<dl>

<dt>X</dt>
<dd>Matrix or data.frame that contains real numbers ("integer", "float" or "double").</dd>


<dt>cos.norm</dt>
<dd>Should the resulting kernel matrix be cosine normalized? (Defaults: FALSE).</dd>


<dt>coeff</dt>
<dd>(optional) A vector of length D that weights each one of the
features (columns). When cos.norm=TRUE, `Linear()` first does the weighting and
then the cosine-normalization.</dd>

</dl>

Linear: Linear kernel

Description

Usage

Value

Arguments

Examples