pyGPGO
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Comparison with other software
pyGPGO documentation
pyGPGO
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Index
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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__init__() (pyGPGO.acquisition.Acquisition method)
(pyGPGO.GPGO.GPGO method)
(pyGPGO.covfunc.gammaExponential method)
(pyGPGO.covfunc.matern method)
(pyGPGO.covfunc.matern32 method)
(pyGPGO.covfunc.matern52 method)
(pyGPGO.covfunc.rationalQuadratic method)
(pyGPGO.covfunc.squaredExponential method)
(pyGPGO.surrogates.BoostedTrees.BoostedTrees method)
(pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.RandomForest.ExtraForest method)
(pyGPGO.surrogates.RandomForest.RandomForest method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
_acqWrapper() (pyGPGO.GPGO.GPGO method)
_firstRun() (pyGPGO.GPGO.GPGO method)
_grad() (pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
_lmlik() (pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
_optimizeAcq() (pyGPGO.GPGO.GPGO method)
_sampleParam() (pyGPGO.GPGO.GPGO method)
A
Acquisition (class in pyGPGO.acquisition)
B
bcolors (class in pyGPGO.logger)
BOLD (pyGPGO.logger.bcolors attribute)
BoostedTrees (class in pyGPGO.surrogates.BoostedTrees)
C
covfunc (pyGPGO.surrogates.GaussianProcess.GaussianProcess attribute)
,
[1]
(pyGPGO.surrogates.tStudentProcess.tStudentProcess attribute)
,
[1]
D
dotProd (class in pyGPGO.covfunc)
E
ENDC (pyGPGO.logger.bcolors attribute)
Entropy() (pyGPGO.acquisition.Acquisition method)
eval() (pyGPGO.acquisition.Acquisition method)
EventLogger (class in pyGPGO.logger)
ExpectedImprovement() (pyGPGO.acquisition.Acquisition method)
expSine (class in pyGPGO.covfunc)
ExtraForest (class in pyGPGO.surrogates.RandomForest)
F
FAIL (pyGPGO.logger.bcolors attribute)
fit() (pyGPGO.surrogates.BoostedTrees.BoostedTrees method)
(pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.RandomForest.ExtraForest method)
(pyGPGO.surrogates.RandomForest.RandomForest method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
G
gammaExponential (class in pyGPGO.covfunc)
GaussianProcess (class in pyGPGO.surrogates.GaussianProcess)
getcovparams() (pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
getResult() (pyGPGO.GPGO.GPGO method)
GPGO (class in pyGPGO.GPGO)
gradK() (pyGPGO.covfunc.dotProd method)
(pyGPGO.covfunc.expSine method)
(pyGPGO.covfunc.gammaExponential method)
(pyGPGO.covfunc.matern32 method)
(pyGPGO.covfunc.matern52 method)
(pyGPGO.covfunc.rationalQuadratic method)
(pyGPGO.covfunc.squaredExponential method)
H
HEADER (pyGPGO.logger.bcolors attribute)
history (pyGPGO.GPGO.GPGO attribute)
,
[1]
I
IntegratedExpectedImprovement() (pyGPGO.acquisition.Acquisition method)
IntegratedProbabilityImprovement() (pyGPGO.acquisition.Acquisition method)
IntegratedUCB() (pyGPGO.acquisition.Acquisition method)
K
K() (pyGPGO.covfunc.dotProd method)
(pyGPGO.covfunc.expSine method)
(pyGPGO.covfunc.gammaExponential method)
(pyGPGO.covfunc.matern method)
(pyGPGO.covfunc.matern32 method)
(pyGPGO.covfunc.matern52 method)
(pyGPGO.covfunc.rationalQuadratic method)
(pyGPGO.covfunc.squaredExponential method)
kronDelta() (in module pyGPGO.covfunc)
L
l2norm_() (in module pyGPGO.covfunc)
logpdf() (in module pyGPGO.surrogates.tStudentProcess)
M
matern (class in pyGPGO.covfunc)
matern32 (class in pyGPGO.covfunc)
matern52 (class in pyGPGO.covfunc)
mprior (pyGPGO.surrogates.GaussianProcess.GaussianProcess attribute)
,
[1]
N
nu (pyGPGO.surrogates.tStudentProcess.tStudentProcess attribute)
,
[1]
O
OKBLUE (pyGPGO.logger.bcolors attribute)
OKGREEN (pyGPGO.logger.bcolors attribute)
optHyp() (pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
optimize (pyGPGO.surrogates.GaussianProcess.GaussianProcess attribute)
,
[1]
(pyGPGO.surrogates.tStudentProcess.tStudentProcess attribute)
,
[1]
P
param_grad() (pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
parameter_key (pyGPGO.GPGO.GPGO attribute)
,
[1]
parameter_range (pyGPGO.GPGO.GPGO attribute)
,
[1]
parameter_type (pyGPGO.GPGO.GPGO attribute)
,
[1]
predict() (pyGPGO.surrogates.BoostedTrees.BoostedTrees method)
(pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.RandomForest.ExtraForest method)
(pyGPGO.surrogates.RandomForest.RandomForest method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
ProbabilityImprovement() (pyGPGO.acquisition.Acquisition method)
pyGPGO (module)
pyGPGO.acquisition (module)
pyGPGO.covfunc (module)
pyGPGO.GPGO (module)
pyGPGO.logger (module)
pyGPGO.surrogates (module)
pyGPGO.surrogates.BoostedTrees (module)
pyGPGO.surrogates.GaussianProcess (module)
pyGPGO.surrogates.RandomForest (module)
pyGPGO.surrogates.tStudentProcess (module)
pyGPGO.version (module)
R
RandomForest (class in pyGPGO.surrogates.RandomForest)
rationalQuadratic (class in pyGPGO.covfunc)
run() (pyGPGO.GPGO.GPGO method)
S
squaredExponential (class in pyGPGO.covfunc)
T
tExpectedImprovement() (pyGPGO.acquisition.Acquisition method)
tIntegratedExpectedImprovement() (pyGPGO.acquisition.Acquisition method)
tStudentProcess (class in pyGPGO.surrogates.tStudentProcess)
U
UCB() (pyGPGO.acquisition.Acquisition method)
UNDERLINE (pyGPGO.logger.bcolors attribute)
update() (pyGPGO.surrogates.BoostedTrees.BoostedTrees method)
(pyGPGO.surrogates.GaussianProcess.GaussianProcess method)
(pyGPGO.surrogates.RandomForest.ExtraForest method)
(pyGPGO.surrogates.RandomForest.RandomForest method)
(pyGPGO.surrogates.tStudentProcess.tStudentProcess method)
updateGP() (pyGPGO.GPGO.GPGO method)
usegrads (pyGPGO.surrogates.GaussianProcess.GaussianProcess attribute)
,
[1]
W
WARNING (pyGPGO.logger.bcolors attribute)
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