partition | R Documentation |
Partition data according to the maximum a' posteriori (MAP)
tree contained in a "tgp"
-class object.
partition(X, out)
X |
|
out |
|
Output is a list of data.frame
s populated with the inputs
X
contained in each region of the partition of the MAP tree
in the "tgp"
-class object out
Robert B. Gramacy, rbg@vt.edu, and Matt Taddy, mataddy@amazon.com
https://bobby.gramacy.com/r_packages/tgp/
tgp.design
, tgp.trees
# # 2-d Exponential data # (This example is based on random data. # It might be fun to run it a few times) # # get the data exp2d.data <- exp2d.rand() X <- exp2d.data$X; Z <- exp2d.data$Z Xcand <- exp2d.data$XX # fit treed GP LLM model to data w/o prediction # basically just to get MAP tree (and plot it) out <- btgpllm(X=X, Z=Z, pred.n=FALSE, BTE=c(2000,3000,2)) tgp.trees(out) # find a treed sequential D-Optimal design # with 10 more points Xcand.parts <- partition(Xcand, out)
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