Description Usage Arguments Examples
metaheuristic optimization of preprocessing combinations
1 2 3 4 | metaheur(gridclassobject, startgrid = 0, startnum = 1, iterations = 10,
taboolistlength = 1, initialtemperature = 0.01, tempconst = 0.01,
reheat = 0.01, nholdout = 2, late = 0, stopcond = 1,
stopvalue = 0.99, deltafive = 0.05, model = "rpart", cores = 1)
|
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, defaults to 10 |
taboolistlength |
(integer) number of previous solution that can not be revisited, must be 1 or more |
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, defaults to 2 |
late |
(integer) location of previous best solution a candidate is compared to, defaults to 0 for last |
stopcond |
(integer) type of stopping condition in addition to iterations, default to 1 for threshold, 2 for convergence |
stopvalue |
(numeric) threshold for stopping, defaults to 0.99 |
deltafive |
(numeric) convergence criteria for last five iterations, defaults to 0.05 |
model |
(character) caret name of predictive model, defaults to "rpart" |
cores |
(integer) number of cores used in computation of classification accuracy holdout rounds, defaults to 1 |
1 2 | ## result <- metaheur(examplegrid, startnum=2, nholdout=2, cores=2)
## getbestheur(result)
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