AutoOED
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About
Introduction
Background
Platform Features
Platform Design
Supported Algorithms
Getting Started
Installation
Basic Usage
Example: Simulation Experiment
Example: Physical Experiment
User Manual
Overview
Software Entry
Building Problem
Evaluation Program
Building Experiment
Running Optimization
Statistics
Database
Exporting Data
API Reference
MOBO Algorithms
Surrogate Models
Acquisition Functions
Multi-Objective Solvers
Selection Criteria
AutoOED
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Index
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Index
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A
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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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M
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N
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O
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P
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R
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S
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T
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U
_
__init__() (autooed.mobo.acquisition.base.Acquisition method)
(autooed.mobo.acquisition.ei.ExpectedImprovement method)
(autooed.mobo.acquisition.pi.ProbabilityOfImprovement method)
(autooed.mobo.acquisition.ts.ThompsonSampling method)
(autooed.mobo.acquisition.ucb.UpperConfidenceBound method)
(autooed.mobo.mobo.MOBO method)
(autooed.mobo.selection.base.Selection method)
(autooed.mobo.solver.base.Solver method)
(autooed.mobo.solver.moead.MOEAD method)
(autooed.mobo.solver.nsga2.NSGA2 method)
(autooed.mobo.solver.parego.parego.ParEGO method)
(autooed.mobo.solver.pareto_discovery.pareto_discovery.ParetoDiscovery method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
(autooed.mobo.surrogate_model.bnn.BayesianNeuralNetwork method)
(autooed.mobo.surrogate_model.gp.GaussianProcess method)
(autooed.mobo.surrogate_model.nn.NeuralNetwork method)
_evaluate() (autooed.mobo.acquisition.base.Acquisition method)
(autooed.mobo.acquisition.ei.ExpectedImprovement method)
(autooed.mobo.acquisition.identity.Identity method)
(autooed.mobo.acquisition.pi.ProbabilityOfImprovement method)
(autooed.mobo.acquisition.ts.ThompsonSampling method)
(autooed.mobo.acquisition.ucb.UpperConfidenceBound method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
(autooed.mobo.surrogate_model.bnn.BayesianNeuralNetwork method)
(autooed.mobo.surrogate_model.gp.GaussianProcess method)
(autooed.mobo.surrogate_model.nn.NeuralNetwork method)
_fit() (autooed.mobo.acquisition.base.Acquisition method)
(autooed.mobo.acquisition.ei.ExpectedImprovement method)
(autooed.mobo.acquisition.identity.Identity method)
(autooed.mobo.acquisition.pi.ProbabilityOfImprovement method)
(autooed.mobo.acquisition.ts.ThompsonSampling method)
(autooed.mobo.acquisition.ucb.UpperConfidenceBound method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
(autooed.mobo.surrogate_model.bnn.BayesianNeuralNetwork method)
(autooed.mobo.surrogate_model.gp.GaussianProcess method)
(autooed.mobo.surrogate_model.nn.NeuralNetwork method)
_optimize() (autooed.mobo.mobo.MOBO method)
_optimize_async() (autooed.mobo.mobo.MOBO method)
_select() (autooed.mobo.selection.base.Selection method)
(autooed.mobo.selection.direct.Direct method)
(autooed.mobo.selection.hvi.HypervolumeImprovement method)
(autooed.mobo.selection.random.Random method)
(autooed.mobo.selection.uncertainty.Uncertainty method)
_solve() (autooed.mobo.solver.base.Solver method)
(autooed.mobo.solver.moead.MOEAD method)
(autooed.mobo.solver.nsga2.NSGA2 method)
(autooed.mobo.solver.parego.parego.ParEGO method)
(autooed.mobo.solver.pareto_discovery.pareto_discovery.ParetoDiscovery method)
A
Acquisition (class in autooed.mobo.acquisition.base)
B
BayesianNeuralNetwork (class in autooed.mobo.surrogate_model.bnn)
C
Custom (class in autooed.mobo.algorithms)
D
DGEMO (class in autooed.mobo.algorithms)
Direct (class in autooed.mobo.selection.direct)
E
evaluate() (autooed.mobo.acquisition.base.Acquisition method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
ExpectedImprovement (class in autooed.mobo.acquisition.ei)
F
fit() (autooed.mobo.acquisition.base.Acquisition method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
G
GaussianProcess (class in autooed.mobo.surrogate_model.gp)
H
HypervolumeImprovement (class in autooed.mobo.selection.hvi)
I
Identity (class in autooed.mobo.acquisition.identity)
M
MOBO (class in autooed.mobo.mobo)
MOEAD (class in autooed.mobo.solver.moead)
MOEAD_EGO (class in autooed.mobo.algorithms)
N
NeuralNetwork (class in autooed.mobo.surrogate_model.nn)
NSGA2 (class in autooed.mobo.solver.nsga2)
O
optimize() (autooed.mobo.mobo.MOBO method)
P
ParEGO (class in autooed.mobo.algorithms)
(class in autooed.mobo.solver.parego.parego)
ParetoDiscovery (class in autooed.mobo.solver.pareto_discovery.pareto_discovery)
predict() (autooed.mobo.mobo.MOBO method)
(autooed.mobo.surrogate_model.base.SurrogateModel method)
ProbabilityOfImprovement (class in autooed.mobo.acquisition.pi)
R
Random (class in autooed.mobo.selection.random)
S
select() (autooed.mobo.selection.base.Selection method)
Selection (class in autooed.mobo.selection.base)
solve() (autooed.mobo.solver.base.Solver method)
Solver (class in autooed.mobo.solver.base)
spec (autooed.mobo.mobo.MOBO attribute)
SurrogateModel (class in autooed.mobo.surrogate_model.base)
T
ThompsonSampling (class in autooed.mobo.acquisition.ts)
TSEMO (class in autooed.mobo.algorithms)
U
Uncertainty (class in autooed.mobo.selection.uncertainty)
UpperConfidenceBound (class in autooed.mobo.acquisition.ucb)
USEMO_EI (class in autooed.mobo.algorithms)
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