ASpredict

This function serves as the internal S3 generic for <code>ASpredict</code> methods.
It dispatches the call to the appropriate method based on the class of <code>training_object</code>.
Currently, only <code>as_train</code> is implemented. Users or developers can
extend this generic by writing new methods for other classes.

internal

A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).

Brais González-Rodríguez

ASML

Algorithm Portfolio Selection with Machine Learning

Ignacio Gómez-Casares

Beatriz Pateiro-López

Julio González-Díaz

María Caseiro-Arias

Antonio Fariña-Elorza

Manuel Timiraos-López

ASpredict function

<dl><dt>training_object</dt>
<dd>object.</dd>
<dt>...</dt>
<dd>other parameters.</dd></dl>

Arguments

Internal generic for ASpredict — ASpredict

<dl>

<dt>training_object</dt>
<dd>object.</dd>


<dt>...</dt>
<dd>other parameters.</dd>

</dl>

ASpredict: Internal generic for ASpredict

Description

Usage

Arguments

Details