resultsMultipleKernelGreedySearch {GreedyExperimentalDesign} | R Documentation |
Returns the results (thus far) of the greedy design search for multiple kernels
Description
Returns the results (thus far) of the greedy design search for multiple kernels
Usage
resultsMultipleKernelGreedySearch(obj, max_vectors = 9, form = "one_zero")
Arguments
obj |
The |
max_vectors |
The number of design vectors you wish to return. |
form |
Which form should it be in? The default is |
Author(s)
Adam Kapelner
Examples
## Not run:
library(MASS)
data(Boston)
#pretend the Boston data was an experiment setting
#first pull out the covariates
X = Boston[, 1 : 13]
#begin the greedy design search
ged = initGreedyMultipleKernelExperimentalDesignObject(X,
max_designs = 1000, num_cores = 3, kernel_names = c("mahalanobis", "gaussian"))
#wait
res = resultsMultipleKernelGreedySearch(ged, max_vectors = 2)
design = res$ending_indicTs[, 1] #ordered already by best-->worst
design
#how far have we come of the 1000 we set out to do?
ged
#we can cut it here
stopSearch(ged)
## End(Not run)
[Package GreedyExperimentalDesign version 1.5.6.1 Index]