callEshotgun: Call the e-shotgun Version 1 with Pareto front selection...
In CallEshotgun: Providing an Interface to the e-Shotgun Algorithm for Bayesian Optimization
Description
Usage
Arguments
Details
Value
Description
The function checks the passed parameter and than calls the e-shotgun Python
implementation and returns a matrix with the evaluated points.
Usage
1
callEshotgun(Xtr, Ytr, f_lb, f_ub, q = 10L, epsilon = 0.1, pf = FALSE)
Arguments
Xtr
a matrix containing the initial points
Ytr
a matrix containing the evaluation of Xtr with a given function
f_lb
a vector with the values of the lower bounds
f_ub
a vector with the values of the upper bounds
q
the amount if points that the e-shotgun should evaluate
epsilon
the epsilon value of the e-shotgun
pf
boolean that decides if pareto front is used
Details
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, and Alma A. M. Rahat. 2020.
e-shotgun : e-greedy Batch Bayesian Optimisation. In Genetic and Evolutionary Computation Conference (GECCO ’20), July 8–12, 2020, Cancún, Mexico.
ACM, New York, NY, USA, 9 pages.
https://doi.org/10.1145/3377930.3390154
https://github.com/georgedeath/eshotgun
Value
a matrix or a vector
CallEshotgun documentation built on Aug. 21, 2021, 1:06 a.m.
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Description Usage Arguments Details Value
Description
The function checks the passed parameter and than calls the e-shotgun Python implementation and returns a matrix with the evaluated points.
Usage
1 | callEshotgun(Xtr, Ytr, f_lb, f_ub, q = 10L, epsilon = 0.1, pf = FALSE)
|
Arguments
Xtr |
a matrix containing the initial points |
Ytr |
a matrix containing the evaluation of Xtr with a given function |
f_lb |
a vector with the values of the lower bounds |
f_ub |
a vector with the values of the upper bounds |
q |
the amount if points that the e-shotgun should evaluate |
epsilon |
the epsilon value of the e-shotgun |
pf |
boolean that decides if pareto front is used |
Details
George De Ath, Richard M. Everson, Jonathan E. Fieldsend, and Alma A. M. Rahat. 2020. e-shotgun : e-greedy Batch Bayesian Optimisation. In Genetic and Evolutionary Computation Conference (GECCO ’20), July 8–12, 2020, Cancún, Mexico. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3377930.3390154 https://github.com/georgedeath/eshotgun
Value
a matrix or a vector
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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