BoTorch
0.2.0
Docs
Tutorials
API Reference
GitHub
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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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.synthetic)
AcquisitionFunction (class in botorch.acquisition.acquisition)
AcquisitionObjective (class in botorch.acquisition.objective)
add_output_dim() (in module botorch.models.utils)
AffineDeterministicModel (class in botorch.models.deterministic)
AffineFidelityCostModel (class in botorch.models.cost)
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.multi_fidelity)
AugmentedHartmann (class in botorch.test_functions.multi_fidelity)
AugmentedRosenbrock (class in botorch.test_functions.multi_fidelity)
B
BadInitialCandidatesWarning
batch_cross_validation() (in module botorch.cross_validation)
batched_to_model_list() (in module botorch.models.converter)
BatchedMultiOutputGPyTorchModel (class in botorch.models.gpytorch)
Beale (class in botorch.test_functions.synthetic)
botorch.acquisition (module)
botorch.acquisition.acquisition (module)
botorch.acquisition.analytic (module)
botorch.acquisition.cost_aware (module)
botorch.acquisition.fixed_feature (module)
botorch.acquisition.knowledge_gradient (module)
botorch.acquisition.max_value_entropy_search (module)
botorch.acquisition.monte_carlo (module)
botorch.acquisition.objective (module)
botorch.acquisition.utils (module)
botorch.cross_validation (module)
botorch.exceptions (module)
botorch.exceptions.errors (module)
botorch.exceptions.warnings (module)
botorch.fit (module)
botorch.gen (module)
botorch.models (module)
botorch.models.converter (module)
botorch.models.cost (module)
botorch.models.deterministic (module)
botorch.models.gp_regression (module)
botorch.models.gp_regression_fidelity (module)
botorch.models.gpytorch (module)
botorch.models.kernels.downsampling (module)
botorch.models.kernels.exponential_decay (module)
botorch.models.kernels.linear_truncated_fidelity (module)
botorch.models.model (module)
botorch.models.model_list_gp_regression (module)
botorch.models.multitask (module)
botorch.models.transforms.input (module)
botorch.models.transforms.outcome (module)
botorch.models.transforms.utils (module)
botorch.models.utils (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.deterministic (module)
botorch.posteriors.gpytorch (module)
botorch.posteriors.posterior (module)
botorch.posteriors.transformed (module)
botorch.sampling (module)
botorch.sampling.qmc (module)
botorch.sampling.samplers (module)
botorch.settings (module)
botorch.test_functions (module)
botorch.test_functions.multi_fidelity (module)
botorch.test_functions.synthetic (module)
botorch.utils (module)
botorch.utils.constraints (module)
botorch.utils.objective (module)
botorch.utils.sampling (module)
botorch.utils.testing (module)
botorch.utils.transforms (module)
BotorchError
BotorchTensorDimensionError
BotorchTensorDimensionWarning
BotorchTestCase (class in botorch.utils.testing)
BotorchWarning
bounds() (botorch.models.transforms.input.Normalize property)
Branin (class in botorch.test_functions.synthetic)
Bukin (class in botorch.test_functions.synthetic)
C
CandidateGenerationError
ChainedInputTransform (class in botorch.models.transforms.input)
ChainedOutcomeTransform (class in botorch.models.transforms.outcome)
check_min_max_scaling() (in module botorch.models.utils)
check_no_nans() (in module botorch.models.utils)
check_standardization() (in module botorch.models.utils)
collapse_batch_dims (botorch.sampling.samplers.MCSampler attribute)
,
[1]
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.synthetic)
cost_sampler() (botorch.acquisition.knowledge_gradient.qMultiFidelityKnowledgeGradient property)
CostAwareUtility (class in botorch.acquisition.cost_aware)
CostAwareWarning
CVFolds (class in botorch.cross_validation)
CVResults (class in botorch.cross_validation)
D
debug (class in botorch.settings)
DeterministicModel (class in botorch.models.deterministic)
DeterministicPosterior (class in botorch.posteriors.deterministic)
device (botorch.utils.testing.BotorchTestCase attribute)
device() (botorch.optim.numpy_converter.TorchAttr property)
(botorch.posteriors.deterministic.DeterministicPosterior property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
(botorch.posteriors.transformed.TransformedPosterior property)
(botorch.utils.testing.MockPosterior property)
dim (botorch.test_functions.multi_fidelity.AugmentedBranin attribute)
(botorch.test_functions.multi_fidelity.AugmentedHartmann attribute)
(botorch.test_functions.synthetic.Beale attribute)
(botorch.test_functions.synthetic.Branin attribute)
(botorch.test_functions.synthetic.Bukin attribute)
(botorch.test_functions.synthetic.Cosine8 attribute)
(botorch.test_functions.synthetic.DropWave attribute)
(botorch.test_functions.synthetic.EggHolder attribute)
(botorch.test_functions.synthetic.HolderTable attribute)
(botorch.test_functions.synthetic.Shekel attribute)
(botorch.test_functions.synthetic.SixHumpCamel attribute)
(botorch.test_functions.synthetic.ThreeHumpCamel attribute)
DixonPrice (class in botorch.test_functions.synthetic)
DownsamplingKernel (class in botorch.models.kernels.downsampling)
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.synthetic)
dtype() (botorch.optim.numpy_converter.TorchAttr property)
(botorch.posteriors.deterministic.DeterministicPosterior property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
(botorch.posteriors.transformed.TransformedPosterior property)
(botorch.utils.testing.MockPosterior property)
E
EggHolder (class in botorch.test_functions.synthetic)
eval_lin_constraint() (in module botorch.optim.parameter_constraints)
evaluate() (botorch.optim.utils.ConvergenceCriterion method)
evaluate_true() (botorch.test_functions.multi_fidelity.AugmentedBranin method)
(botorch.test_functions.multi_fidelity.AugmentedHartmann method)
(botorch.test_functions.multi_fidelity.AugmentedRosenbrock method)
(botorch.test_functions.synthetic.Ackley method)
(botorch.test_functions.synthetic.Beale method)
(botorch.test_functions.synthetic.Branin method)
(botorch.test_functions.synthetic.Bukin method)
(botorch.test_functions.synthetic.Cosine8 method)
(botorch.test_functions.synthetic.DixonPrice method)
(botorch.test_functions.synthetic.DropWave method)
(botorch.test_functions.synthetic.EggHolder method)
(botorch.test_functions.synthetic.Griewank method)
(botorch.test_functions.synthetic.Hartmann method)
(botorch.test_functions.synthetic.HolderTable method)
(botorch.test_functions.synthetic.Levy method)
(botorch.test_functions.synthetic.Michalewicz method)
(botorch.test_functions.synthetic.Powell method)
(botorch.test_functions.synthetic.Rastrigin method)
(botorch.test_functions.synthetic.Rosenbrock method)
(botorch.test_functions.synthetic.Shekel method)
(botorch.test_functions.synthetic.SixHumpCamel method)
(botorch.test_functions.synthetic.StyblinskiTang method)
(botorch.test_functions.synthetic.SyntheticTestFunction method)
(botorch.test_functions.synthetic.ThreeHumpCamel method)
event_shape() (botorch.posteriors.deterministic.DeterministicPosterior property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
(botorch.posteriors.transformed.TransformedPosterior property)
(botorch.utils.testing.MockPosterior property)
expand_trace_observations() (in module botorch.acquisition.utils)
ExpectedImprovement (class in botorch.acquisition.analytic)
ExponentialDecayKernel (class in botorch.models.kernels.exponential_decay)
extract_candidates() (botorch.acquisition.acquisition.OneShotAcquisitionFunction method)
(botorch.acquisition.knowledge_gradient.qKnowledgeGradient method)
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.cost_aware.CostAwareUtility method)
(botorch.acquisition.cost_aware.GenericCostAwareUtility method)
(botorch.acquisition.cost_aware.InverseCostWeightedUtility method)
(botorch.acquisition.fixed_feature.FixedFeatureAcquisitionFunction method)
(botorch.acquisition.knowledge_gradient.qKnowledgeGradient method)
(botorch.acquisition.knowledge_gradient.qMultiFidelityKnowledgeGradient method)
(botorch.acquisition.max_value_entropy_search.qMaxValueEntropy method)
(botorch.acquisition.max_value_entropy_search.qMultiFidelityMaxValueEntropy 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.cost.AffineFidelityCostModel method)
(botorch.models.deterministic.AffineDeterministicModel method)
(botorch.models.deterministic.DeterministicModel method)
(botorch.models.deterministic.GenericDeterministicModel method)
(botorch.models.gp_regression.FixedNoiseGP method)
(botorch.models.gp_regression.SingleTaskGP method)
(botorch.models.multitask.MultiTaskGP method)
(botorch.models.transforms.input.ChainedInputTransform method)
(botorch.models.transforms.input.InputTransform method)
(botorch.models.transforms.input.Normalize method)
(botorch.models.transforms.outcome.ChainedOutcomeTransform method)
(botorch.models.transforms.outcome.Log method)
(botorch.models.transforms.outcome.OutcomeTransform method)
(botorch.models.transforms.outcome.Standardize method)
(botorch.sampling.samplers.MCSampler method)
,
[1]
(botorch.test_functions.synthetic.SyntheticTestFunction method)
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_loo_cv_folds() (in module botorch.cross_validation)
gen_one_shot_kg_initial_conditions() (in module botorch.optim.initializers)
GenericCostAwareUtility (class in botorch.acquisition.cost_aware)
GenericDeterministicModel (class in botorch.models.deterministic)
GenericMCObjective (class in botorch.acquisition.objective)
get_acquisition_function() (in module botorch.acquisition.utils)
get_augmented_q_batch_size() (botorch.acquisition.acquisition.OneShotAcquisitionFunction method)
(botorch.acquisition.knowledge_gradient.qKnowledgeGradient method)
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)
gpt_posterior_settings() (in module botorch.utils.transforms)
GPyTorchModel (class in botorch.models.gpytorch)
GPyTorchPosterior (class in botorch.posteriors.gpytorch)
Griewank (class in botorch.test_functions.synthetic)
H
Hartmann (class in botorch.test_functions.synthetic)
HeteroskedasticSingleTaskGP (class in botorch.models.gp_regression)
HolderTable (class in botorch.test_functions.synthetic)
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)
InputDataError
InputDataWarning
InputTransform (class in botorch.models.transforms.input)
InverseCostWeightedUtility (class in botorch.acquisition.cost_aware)
is_nonnegative() (in module botorch.acquisition.utils)
J
joint_optimize() (in module botorch.optim.optimize)
L
Levy (class in botorch.test_functions.synthetic)
lin_constraint_jac() (in module botorch.optim.parameter_constraints)
LinearMCObjective (class in botorch.acquisition.objective)
LinearTruncatedFidelityKernel (class in botorch.models.kernels.linear_truncated_fidelity)
load_state_dict() (botorch.utils.testing.MockModel method)
Log (class in botorch.models.transforms.outcome)
lognorm_to_norm() (in module botorch.models.transforms.utils)
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)
,
[1]
mean() (botorch.posteriors.deterministic.DeterministicPosterior property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
(botorch.posteriors.transformed.TransformedPosterior property)
(botorch.utils.testing.MockPosterior property)
Michalewicz (class in botorch.test_functions.synthetic)
MockAcquisitionFunction (class in botorch.utils.testing)
MockModel (class in botorch.utils.testing)
MockPosterior (class in botorch.utils.testing)
mod_batch_shape() (in module botorch.models.utils)
Model (class in botorch.models.model)
model() (botorch.cross_validation.CVResults property)
model_list_to_batched() (in module botorch.models.converter)
ModelListGP (class in botorch.models.model_list_gp_regression)
ModelListGPyTorchModel (class in botorch.models.gpytorch)
module_to_array() (in module botorch.optim.numpy_converter)
multioutput_to_batch_mode_transform() (in module botorch.models.utils)
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)
norm_to_lognorm() (in module botorch.models.transforms.utils)
norm_to_lognorm_mean() (in module botorch.models.transforms.utils)
norm_to_lognorm_variance() (in module botorch.models.transforms.utils)
Normalize (class in botorch.models.transforms.input)
normalize() (in module botorch.utils.transforms)
normalize_indices() (in module botorch.utils.transforms)
NormalQMCEngine (class in botorch.sampling.qmc)
num_outputs() (botorch.models.deterministic.DeterministicModel property)
(botorch.models.gpytorch.GPyTorchModel property)
(botorch.models.model.Model property)
(botorch.utils.testing.MockModel property)
O
observed_Y() (botorch.cross_validation.CVResults property)
observed_Yvar() (botorch.cross_validation.CVResults property)
OneShotAcquisitionFunction (class in botorch.acquisition.acquisition)
optimal_value() (botorch.test_functions.synthetic.Hartmann property)
(botorch.test_functions.synthetic.SyntheticTestFunction property)
OptimizationWarning
optimize_acqf() (in module botorch.optim.optimize)
optimize_acqf_cyclic() (in module botorch.optim.optimize)
optimizers() (botorch.test_functions.synthetic.Hartmann property)
(botorch.test_functions.synthetic.Michalewicz property)
OutcomeTransform (class in botorch.models.transforms.outcome)
P
Posterior (class in botorch.posteriors.posterior)
posterior() (botorch.cross_validation.CVResults property)
(botorch.models.deterministic.DeterministicModel method)
(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)
(botorch.utils.testing.MockModel method)
PosteriorMean (class in botorch.acquisition.analytic)
Powell (class in botorch.test_functions.synthetic)
ProbabilityOfImprovement (class in botorch.acquisition.analytic)
project_to_target_fidelity() (in module botorch.acquisition.utils)
propagate_grads (class in botorch.settings)
prune_inferior_points() (in module botorch.acquisition.utils)
Q
qExpectedImprovement (class in botorch.acquisition.monte_carlo)
qKnowledgeGradient (class in botorch.acquisition.knowledge_gradient)
qMaxValueEntropy (class in botorch.acquisition.max_value_entropy_search)
qMultiFidelityKnowledgeGradient (class in botorch.acquisition.knowledge_gradient)
qMultiFidelityMaxValueEntropy (class in botorch.acquisition.max_value_entropy_search)
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.synthetic)
resample (botorch.sampling.samplers.MCSampler attribute)
,
[1]
Rosenbrock (class in botorch.test_functions.synthetic)
rsample() (botorch.posteriors.deterministic.DeterministicPosterior method)
(botorch.posteriors.gpytorch.GPyTorchPosterior method)
(botorch.posteriors.posterior.Posterior method)
(botorch.posteriors.transformed.TransformedPosterior method)
(botorch.utils.testing.MockPosterior method)
S
sample() (botorch.posteriors.posterior.Posterior method)
sample_all_priors() (in module botorch.optim.utils)
sample_shape (botorch.sampling.samplers.MCSampler attribute)
,
[1]
sample_shape() (botorch.sampling.samplers.MCSampler property)
,
[1]
SamplingWarning
scalarize_posterior() (in module botorch.posteriors.gpytorch)
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)
(botorch.acquisition.max_value_entropy_search.qMaxValueEntropy method)
(botorch.utils.testing.MockAcquisitionFunction method)
setUp() (botorch.utils.testing.BotorchTestCase method)
shape() (botorch.optim.numpy_converter.TorchAttr property)
Shekel (class in botorch.test_functions.synthetic)
SingleTaskGP (class in botorch.models.gp_regression)
SingleTaskMultiFidelityGP (class in botorch.models.gp_regression_fidelity)
SixHumpCamel (class in botorch.test_functions.synthetic)
SobolQMCNormalSampler (class in botorch.sampling.samplers)
soft_eval_constraint() (in module botorch.utils.objective)
squeeze_last_dim() (in module botorch.utils.transforms)
Standardize (class in botorch.models.transforms.outcome)
standardize() (in module botorch.utils.transforms)
state_dict() (botorch.utils.testing.MockModel method)
StyblinskiTang (class in botorch.test_functions.synthetic)
subset_output() (botorch.models.deterministic.AffineDeterministicModel method)
(botorch.models.deterministic.GenericDeterministicModel method)
(botorch.models.gp_regression.FixedNoiseGP method)
(botorch.models.gp_regression.HeteroskedasticSingleTaskGP method)
(botorch.models.gpytorch.BatchedMultiOutputGPyTorchModel method)
(botorch.models.model.Model method)
(botorch.models.model_list_gp_regression.ModelListGP method)
suppress_botorch_warnings() (in module botorch.settings)
SyntheticTestFunction (class in botorch.test_functions.synthetic)
SyntheticTestFunctionBaseTestCase (class in botorch.utils.testing)
T
t_batch_mode_transform() (in module botorch.utils.transforms)
test_forward() (botorch.utils.testing.SyntheticTestFunctionBaseTestCase method)
test_optimal_value() (botorch.utils.testing.SyntheticTestFunctionBaseTestCase method)
test_optimizer() (botorch.utils.testing.SyntheticTestFunctionBaseTestCase method)
test_X() (botorch.cross_validation.CVFolds property)
test_Y() (botorch.cross_validation.CVFolds property)
test_Yvar() (botorch.cross_validation.CVFolds property)
ThreeHumpCamel (class in botorch.test_functions.synthetic)
TorchAttr (class in botorch.optim.numpy_converter)
train_X() (botorch.cross_validation.CVFolds property)
train_Y() (botorch.cross_validation.CVFolds property)
train_Yvar() (botorch.cross_validation.CVFolds property)
TransformedPosterior (class in botorch.posteriors.transformed)
U
unnormalize() (in module botorch.utils.transforms)
UnsupportedError
untransform() (botorch.models.transforms.input.ChainedInputTransform method)
(botorch.models.transforms.input.InputTransform method)
(botorch.models.transforms.input.Normalize method)
(botorch.models.transforms.outcome.ChainedOutcomeTransform method)
(botorch.models.transforms.outcome.Log method)
(botorch.models.transforms.outcome.OutcomeTransform method)
(botorch.models.transforms.outcome.Standardize method)
untransform_posterior() (botorch.models.transforms.outcome.ChainedOutcomeTransform method)
(botorch.models.transforms.outcome.Log method)
(botorch.models.transforms.outcome.OutcomeTransform method)
(botorch.models.transforms.outcome.Standardize method)
UpperConfidenceBound (class in botorch.acquisition.analytic)
V
validate_input_scaling (class in botorch.settings)
validate_input_scaling() (in module botorch.models.utils)
variance() (botorch.posteriors.deterministic.DeterministicPosterior property)
(botorch.posteriors.gpytorch.GPyTorchPosterior property)
(botorch.posteriors.posterior.Posterior property)
(botorch.posteriors.transformed.TransformedPosterior property)
(botorch.utils.testing.MockPosterior property)
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