metaheurhyper: search for best hyperparameters for metaheuristic...

In metaheur: Metaheuristic Optimization Framework for Preprocessing Combinations

Description

search for best hyperparameters for metaheuristic optimization

Usage

metaheurhyper(gridclassobject = examplegrid, searchtype = "grid",
  nrohyperparams = 3, iterations = 10, cores = 1, nholdout = 2,
  trials = 3, model = "rpart")

Arguments

gridclassobject	(GridClass) created by setgrid function in preprocomb package, defaults to examplegrid
searchtype	(character) grid or random search
nrohyperparams	(integer) number of hyperparameters used in random search, between 1 and 5, default to 3
iterations	(integer) number of iterations done for a restart
cores	(integer) number of cores used in computation of classification accuracies holdout rounds
nholdout	(integer) number of holdout rounds in computing classification accuracies
trials	(integer) number of trials
model	(character) caret name of predictive model, defaults to "rpart"

Examples

## result <- metaheurhyper(cores=2, trials=2, iterations=30)

metaheur documentation built on May 1, 2019, 10:50 p.m.