BoTorch
0.1.4
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Index
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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J
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
A
Ackley (class in botorch.test_functions)
AcquisitionFunction (class in botorch.acquisition.acquisition)
AnalyticAcquisitionFunction (class in botorch.acquisition.analytic)
apply_constraints() (in module botorch.utils.objective)
apply_constraints_nonnegative_soft() (in module botorch.utils.objective)
AugmentedBranin (class in botorch.test_functions)
AugmentedHartmann (class in botorch.test_functions)
AugmentedRosenbrock (class in botorch.test_functions)
B
BadInitialCandidatesWarning (class in botorch.exceptions.warnings)
BatchedMultiOutputGPyTorchModel (class in botorch.models.gpytorch)
Beale (class in botorch.test_functions)
botorch.acquisition.acquisition (module)
botorch.acquisition.analytic (module)
botorch.acquisition.fixed_feature (module)
botorch.acquisition.monte_carlo (module)
botorch.acquisition.objective (module)
botorch.acquisition.utils (module)
botorch.exceptions (module)
botorch.exceptions.errors (module)
botorch.exceptions.warnings (module)
botorch.fit (module)
botorch.gen (module)
botorch.models (module)
botorch.optim (module)
botorch.optim.fit (module)
botorch.optim.initializers (module)
botorch.optim.numpy_converter (module)
botorch.optim.optimize (module)
botorch.optim.parameter_constraints (module)
botorch.optim.utils (module)
botorch.posteriors (module)
botorch.posteriors.gpytorch (module)
botorch.posteriors.posterior (module)
botorch.sampling (module)
botorch.sampling.qmc (module)
botorch.sampling.samplers (module)
botorch.settings (module)
botorch.test_functions (module)
botorch.utils (module)
botorch.utils.constraints (module)
botorch.utils.objective (module)
botorch.utils.sampling (module)
botorch.utils.transforms (module)
BotorchError (class in botorch.exceptions.errors)
BotorchWarning (class in botorch.exceptions.warnings)
Branin (class in botorch.test_functions)
Bukin (class in botorch.test_functions)
C
CandidateGenerationError (class in botorch.exceptions.errors)
collapse_batch_dims (botorch.sampling.samplers.MCSampler attribute)
columnwise_clamp() (in module botorch.optim.utils)
concatenate_pending_points() (in module botorch.utils.transforms)
condition_on_observations() (botorch.models.gp_regression.HeteroskedasticSingleTaskGP method)
(botorch.models.gpytorch.BatchedMultiOutputGPyTorchModel method)
(botorch.models.gpytorch.GPyTorchModel method)
(botorch.models.gpytorch.ModelListGPyTorchModel method)
(botorch.models.model.Model method)
(botorch.models.model_list_gp_regression.ModelListGP method)
ConstrainedExpectedImprovement (class in botorch.acquisition.analytic)
ConstrainedMCObjective (class in botorch.acquisition.objective)
construct_base_samples() (in module botorch.utils.sampling)
construct_base_samples_from_posterior() (in module botorch.utils.sampling)
ConvergenceCriterion (class in botorch.optim.utils)
convert_to_target_pre_hook() (in module botorch.utils.transforms)
Cosine8 (class in botorch.test_functions)
D
device() (botorch.optim.numpy_converter.TorchAttr property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
DixonPrice (class in botorch.test_functions)
draw() (botorch.sampling.qmc.MultivariateNormalQMCEngine method)
(botorch.sampling.qmc.NormalQMCEngine method)
draw_sobol_normal_samples() (in module botorch.utils.sampling)
draw_sobol_samples() (in module botorch.utils.sampling)
DropWave (class in botorch.test_functions)
dtype() (botorch.optim.numpy_converter.TorchAttr property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
E
EggHolder (class in botorch.test_functions)
eval_lin_constraint() (in module botorch.optim.parameter_constraints)
evaluate() (botorch.optim.utils.ConvergenceCriterion method)
evaluate_true() (botorch.test_functions.Ackley method)
(botorch.test_functions.AugmentedBranin method)
(botorch.test_functions.AugmentedHartmann method)
(botorch.test_functions.AugmentedRosenbrock method)
(botorch.test_functions.Beale method)
(botorch.test_functions.Branin method)
(botorch.test_functions.Bukin method)
(botorch.test_functions.Cosine8 method)
(botorch.test_functions.DixonPrice method)
(botorch.test_functions.DropWave method)
(botorch.test_functions.EggHolder method)
(botorch.test_functions.Griewank method)
(botorch.test_functions.Hartmann method)
(botorch.test_functions.HolderTable method)
(botorch.test_functions.Levy method)
(botorch.test_functions.Michalewicz method)
(botorch.test_functions.Powell method)
(botorch.test_functions.Rastrigin method)
(botorch.test_functions.Rosenbrock method)
(botorch.test_functions.Shekel method)
(botorch.test_functions.SixHumpCamel method)
(botorch.test_functions.StyblinskiTang method)
(botorch.test_functions.SyntheticTestFunction method)
(botorch.test_functions.ThreeHumpCamel method)
event_shape() (botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
ExpectedImprovement (class in botorch.acquisition.analytic)
F
fantasize() (botorch.models.gp_regression.FixedNoiseGP method)
(botorch.models.model.Model method)
fit_gpytorch_model() (in module botorch.fit)
fit_gpytorch_scipy() (in module botorch.optim.fit)
fit_gpytorch_torch() (in module botorch.optim.fit)
fix_features() (in module botorch.optim.utils)
FixedFeatureAcquisitionFunction (class in botorch.acquisition.fixed_feature)
FixedNoiseGP (class in botorch.models.gp_regression)
FixedNoiseMultiTaskGP (class in botorch.models.multitask)
forward() (botorch.acquisition.acquisition.AcquisitionFunction method)
(botorch.acquisition.analytic.ConstrainedExpectedImprovement method)
(botorch.acquisition.analytic.ExpectedImprovement method)
(botorch.acquisition.analytic.NoisyExpectedImprovement method)
(botorch.acquisition.analytic.PosteriorMean method)
(botorch.acquisition.analytic.ProbabilityOfImprovement method)
(botorch.acquisition.analytic.UpperConfidenceBound method)
(botorch.acquisition.fixed_feature.FixedFeatureAcquisitionFunction method)
(botorch.acquisition.monte_carlo.MCAcquisitionFunction method)
(botorch.acquisition.monte_carlo.qExpectedImprovement method)
(botorch.acquisition.monte_carlo.qNoisyExpectedImprovement method)
(botorch.acquisition.monte_carlo.qProbabilityOfImprovement method)
(botorch.acquisition.monte_carlo.qSimpleRegret method)
(botorch.acquisition.monte_carlo.qUpperConfidenceBound method)
(botorch.acquisition.objective.ConstrainedMCObjective method)
(botorch.acquisition.objective.GenericMCObjective method)
(botorch.acquisition.objective.IdentityMCObjective method)
(botorch.acquisition.objective.LinearMCObjective method)
(botorch.acquisition.objective.MCAcquisitionObjective method)
(botorch.acquisition.objective.ScalarizedObjective method)
(botorch.models.gp_regression.FixedNoiseGP method)
(botorch.models.multitask.MultiTaskGP method)
(botorch.sampling.samplers.MCSampler method)
(botorch.test_functions.SyntheticTestFunction method)
fun() (botorch.optim.fit.OptimizationIteration property)
G
gen_batch_initial_conditions() (in module botorch.optim.initializers)
gen_candidates_scipy() (in module botorch.gen)
gen_candidates_torch() (in module botorch.gen)
gen_one_shot_kg_initial_conditions() (in module botorch.optim.initializers)
GenericMCObjective (class in botorch.acquisition.objective)
get_acquisition_function() (in module botorch.acquisition.utils)
get_best_candidates() (in module botorch.gen)
get_infeasible_cost() (in module botorch.acquisition.utils)
get_objective_weights_transform() (in module botorch.utils.objective)
get_outcome_constraint_transforms() (in module botorch.utils.constraints)
GPyTorchModel (class in botorch.models.gpytorch)
GPyTorchPosterior (class in botorch.posteriors.gpytorch)
Griewank (class in botorch.test_functions)
H
Hartmann (class in botorch.test_functions)
HeteroskedasticSingleTaskGP (class in botorch.models.gp_regression)
HolderTable (class in botorch.test_functions)
I
IdentityMCObjective (class in botorch.acquisition.objective)
IIDNormalSampler (class in botorch.sampling.samplers)
initialize_q_batch() (in module botorch.optim.initializers)
initialize_q_batch_nonneg() (in module botorch.optim.initializers)
is_nonnegative() (in module botorch.acquisition.utils)
itr() (botorch.optim.fit.OptimizationIteration property)
J
joint_optimize() (in module botorch.optim.optimize)
L
Levy (class in botorch.test_functions)
lin_constraint_jac() (in module botorch.optim.parameter_constraints)
LinearMCObjective (class in botorch.acquisition.objective)
M
make_scipy_bounds() (in module botorch.optim.parameter_constraints)
make_scipy_linear_constraints() (in module botorch.optim.parameter_constraints)
manual_seed() (in module botorch.utils.sampling)
match_batch_shape() (in module botorch.utils.transforms)
MCAcquisitionFunction (class in botorch.acquisition.monte_carlo)
MCAcquisitionObjective (class in botorch.acquisition.objective)
MCSampler (class in botorch.sampling.samplers)
mean() (botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
Michalewicz (class in botorch.test_functions)
Model (class in botorch.models.model)
ModelListGP (class in botorch.models.model_list_gp_regression)
ModelListGPyTorchModel (class in botorch.models.gpytorch)
module_to_array() (in module botorch.optim.numpy_converter)
MultiTaskGP (class in botorch.models.multitask)
MultiTaskGPyTorchModel (class in botorch.models.gpytorch)
MultivariateNormalQMCEngine (class in botorch.sampling.qmc)
N
NoisyExpectedImprovement (class in botorch.acquisition.analytic)
normalize() (in module botorch.utils.transforms)
NormalQMCEngine (class in botorch.sampling.qmc)
num_outputs() (botorch.models.gpytorch.ModelListGPyTorchModel property)
O
optimal_value() (botorch.test_functions.Hartmann property)
(botorch.test_functions.SyntheticTestFunction property)
OptimizationIteration (class in botorch.optim.fit)
optimize_acqf() (in module botorch.optim.optimize)
optimize_acqf_cyclic() (in module botorch.optim.optimize)
P
Posterior (class in botorch.posteriors.posterior)
posterior() (botorch.models.gpytorch.BatchedMultiOutputGPyTorchModel method)
(botorch.models.gpytorch.GPyTorchModel method)
(botorch.models.gpytorch.ModelListGPyTorchModel method)
(botorch.models.gpytorch.MultiTaskGPyTorchModel method)
(botorch.models.model.Model method)
PosteriorMean (class in botorch.acquisition.analytic)
Powell (class in botorch.test_functions)
ProbabilityOfImprovement (class in botorch.acquisition.analytic)
Q
qExpectedImprovement (class in botorch.acquisition.monte_carlo)
qNoisyExpectedImprovement (class in botorch.acquisition.monte_carlo)
qProbabilityOfImprovement (class in botorch.acquisition.monte_carlo)
qSimpleRegret (class in botorch.acquisition.monte_carlo)
qUpperConfidenceBound (class in botorch.acquisition.monte_carlo)
R
Rastrigin (class in botorch.test_functions)
resample (botorch.sampling.samplers.MCSampler attribute)
Rosenbrock (class in botorch.test_functions)
rsample() (botorch.posteriors.gpytorch.GPyTorchPosterior method)
(botorch.posteriors.posterior.Posterior method)
S
sample() (botorch.posteriors.posterior.Posterior method)
sample_all_priors() (in module botorch.optim.utils)
sample_shape (botorch.sampling.samplers.MCSampler attribute)
sample_shape() (botorch.sampling.samplers.MCSampler property)
ScalarizedObjective (class in botorch.acquisition.objective)
sequential_optimize() (in module botorch.optim.optimize)
set_params_with_array() (in module botorch.optim.numpy_converter)
set_X_pending() (botorch.acquisition.acquisition.AcquisitionFunction method)
(botorch.acquisition.analytic.AnalyticAcquisitionFunction method)
shape() (botorch.optim.numpy_converter.TorchAttr property)
Shekel (class in botorch.test_functions)
SingleTaskGP (class in botorch.models.gp_regression)
SixHumpCamel (class in botorch.test_functions)
SobolQMCNormalSampler (class in botorch.sampling.samplers)
soft_eval_constraint() (in module botorch.utils.objective)
squeeze_last_dim() (in module botorch.utils.transforms)
standardize() (in module botorch.utils.transforms)
StyblinskiTang (class in botorch.test_functions)
SyntheticTestFunction (class in botorch.test_functions)
T
t_batch_mode_transform() (in module botorch.utils.transforms)
ThreeHumpCamel (class in botorch.test_functions)
time() (botorch.optim.fit.OptimizationIteration property)
TorchAttr (class in botorch.optim.numpy_converter)
U
unnormalize() (in module botorch.utils.transforms)
UnsupportedError (class in botorch.exceptions.errors)
UpperConfidenceBound (class in botorch.acquisition.analytic)
V
variance() (botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
BoTorch
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