laplacian

An alternative distance function that can be used in LESS.

"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at <arXiv:2112.06251>.

Burhan Ozer Cavdar

less

Learning with Subset Stacking

Ilker Birbil

laplacian function

<dl><dt>data</dt>
<dd>Data that includes points in shape of (M x d)</dd>
<dt>center</dt>
<dd>A constant point in shape of (1 x d)</dd>
<dt>coeff</dt>
<dd>Coefficient value for Laplacian kernel</dd></dl>

Arguments

Laplacian kernel - L1 norm — laplacian

<dl>

<dt>data</dt>
<dd>Data that includes points in shape of (M x d)</dd>


<dt>center</dt>
<dd>A constant point in shape of (1 x d)</dd>


<dt>coeff</dt>
<dd>Coefficient value for Laplacian kernel</dd>

</dl>

laplacian: Laplacian kernel - L1 norm

Description

Usage

Value

Arguments

Examples