resultsMultipleKernelGreedySearch: Returns the results (thus far) of the greedy design search...

In GreedyExperimentalDesign: Greedy Experimental Design Construction

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 greedy_multiple_kernel_experimental_design object that is currently running the search
max_vectors	The number of design vectors you wish to return. NULL returns all of them. This is not recommended as returning over 1,000 vectors is time-intensive. The default is 9.
form	Which form should it be in? The default is one_zero for 1/0's or pos_one_min_one for +1/-1's.

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)

GreedyExperimentalDesign documentation built on July 26, 2023, 5:48 p.m.