summary.epcreg: Summary function for 'epcreg' model

In EnsemblePCReg: Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning

Summary function for epcreg model

Description

Summary function for epcreg model

Usage

## S3 method for class 'epcreg'
summary(object, ...)

Arguments

object	Object of class epcreg, usually the output of function epcreg.
...	Arguments passed to/from other functions.

Value

A list with the following elements:

n.instance	Number of base learner instances used in training the model.
maxpc	Maximum number of PC's considered in PCR-based integration of base learners.
index.min	Optimal number of PC's, i.e. what minimizes the CV error.
error.min	Minimum CV error in PCR-based integration, corresponding to index.min number of PC's.
tvec	Vector of task lengths for each base learner instance. This can be passed to task.length argument of epcreg for more efficient task scheduling in parallel training. Only available if epcreg was run in serial mode, i.e., with ncores = 1.

Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani

EnsemblePCReg documentation built on April 19, 2022, 1:06 a.m.