|
Last data update: 2014.03.03
|
R: metaheur
metaheur
Description
Metaheuristic optimization of preprocessing combinations
Usage
metaheur(gridclassobject, startgrid = 0, startnum = 1, iterations = 5,
taboolistlength = 1, initialtemperature = 0.01, tempconst = 0.01,
reheat = 0.01, nholdout = 1, late = 0, stopcond = 1,
stopvalue = 0.95, deltafive = 0.05, verbose = FALSE,
predictor = "knn")
Arguments
gridclassobject |
(GridClass) created by setgrid function in preprocomb package
|
startgrid |
(integer) 0 random restart (default), 1 grid restart
|
startnum |
(integer) number of restarts
|
iterations |
(integer) number of iterations done for a restart, default to 5
|
taboolistlength |
(integer) number of previous solution that can not be revisited, > 1
|
initialtemperature |
(numeric) initial propability for acccepting an inferior candidate, between 0 and 1
|
tempconst |
(numeric) multiplier for decreasing temperature on each iteration
|
reheat |
(numeric) propability of increasing temperature on each iteration
|
nholdout |
(integer) number of holdout rounds
|
late |
(integer) location of previous best solution a candidate is compared to, default to 0 for last
|
stopcond |
(integer) type of stopping condition, default to 1 for threshold, 2 for convergence
|
stopvalue |
(numeric) threshold for stopping, defaults to 0.95
|
deltafive |
(numeric) convergence criteria for last five iteration, defaults to 0.05
|
verbose |
(boolean)
|
predictor |
(character) caret name of predictive model, defaults to "knn"
|
Examples
## result <- metaheur(examplegrid,verbose=TRUE)
## getbestheur(result)
Results
|
providing 
.