ocbaRanking: ocbaRanking
In SPOT: Sequential Parameter Optimization Toolbox
ocbaRanking R Documentation
ocbaRanking
Description
Return the ocba ranking (xbest, ybest) for noisy optimization
Usage
ocbaRanking(x, y, fun, control, ...)
Arguments
x
matrix of x values
y
matrix of y values, one dimensional!
fun
objective function
control
control list, see spotControl
...
additional arguments to fun
Details
Based on repeatsOCBA
Value
(x,y) matrix of sorted (by y) values. In case of noise are these values aggregated (y-mean) values.
SPOT documentation built on June 26, 2022, 1:06 a.m.
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| ocbaRanking | R Documentation |
ocbaRanking
Description
Return the ocba ranking (xbest, ybest) for noisy optimization
Usage
ocbaRanking(x, y, fun, control, ...)
Arguments
x |
matrix of x values |
y |
matrix of y values, one dimensional! |
fun |
objective function |
control |
control list, see |
... |
additional arguments to fun |
Details
Based on repeatsOCBA
Value
(x,y) matrix of sorted (by y) values. In case of noise are these values aggregated (y-mean) values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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