All modules for which code is available
- botorch.acquisition.acquisition
- botorch.acquisition.active_learning
- botorch.acquisition.analytic
- botorch.acquisition.bayesian_active_learning
- botorch.acquisition.cached_cholesky
- botorch.acquisition.cost_aware
- botorch.acquisition.decoupled
- botorch.acquisition.factory
- botorch.acquisition.fixed_feature
- botorch.acquisition.input_constructors
- botorch.acquisition.joint_entropy_search
- botorch.acquisition.knowledge_gradient
- botorch.acquisition.logei
- botorch.acquisition.max_value_entropy_search
- botorch.acquisition.monte_carlo
- botorch.acquisition.multi_objective.analytic
- botorch.acquisition.multi_objective.base
- botorch.acquisition.multi_objective.hypervolume_knowledge_gradient
- botorch.acquisition.multi_objective.joint_entropy_search
- botorch.acquisition.multi_objective.logei
- botorch.acquisition.multi_objective.max_value_entropy_search
- botorch.acquisition.multi_objective.monte_carlo
- botorch.acquisition.multi_objective.multi_fidelity
- botorch.acquisition.multi_objective.multi_output_risk_measures
- botorch.acquisition.multi_objective.objective
- botorch.acquisition.multi_objective.parego
- botorch.acquisition.multi_objective.predictive_entropy_search
- botorch.acquisition.multi_objective.utils
- botorch.acquisition.multi_step_lookahead
- botorch.acquisition.objective
- botorch.acquisition.penalized
- botorch.acquisition.predictive_entropy_search
- botorch.acquisition.preference
- botorch.acquisition.prior_guided
- botorch.acquisition.proximal
- botorch.acquisition.risk_measures
- botorch.acquisition.thompson_sampling
- botorch.acquisition.utils
- botorch.cross_validation
- botorch.exceptions.errors
- botorch.exceptions.warnings
- botorch.fit
- botorch.generation.gen
- botorch.generation.sampling
- botorch.logging
- botorch.models.approximate_gp
- botorch.models.contextual
- botorch.models.contextual_multioutput
- botorch.models.converter
- botorch.models.cost
- botorch.models.deterministic
- botorch.models.ensemble
- botorch.models.fully_bayesian
- botorch.models.fully_bayesian_multitask
- botorch.models.gp_regression
- botorch.models.gp_regression_fidelity
- botorch.models.gp_regression_mixed
- botorch.models.gpytorch
- botorch.models.higher_order_gp
- botorch.models.kernels.categorical
- botorch.models.kernels.contextual_lcea
- botorch.models.kernels.contextual_sac
- botorch.models.kernels.downsampling
- botorch.models.kernels.exponential_decay
- botorch.models.kernels.infinite_width_bnn
- botorch.models.kernels.linear_truncated_fidelity
- botorch.models.kernels.orthogonal_additive_kernel
- botorch.models.likelihoods.pairwise
- botorch.models.model
- botorch.models.model_list_gp_regression
- botorch.models.multitask
- botorch.models.pairwise_gp
- botorch.models.transforms.factory
- botorch.models.transforms.input
- botorch.models.transforms.outcome
- botorch.models.transforms.utils
- botorch.models.utils.assorted
- botorch.models.utils.gpytorch_modules
- botorch.models.utils.inducing_point_allocators
- botorch.optim.closures.core
- botorch.optim.closures.model_closures
- botorch.optim.core
- botorch.optim.fit
- botorch.optim.homotopy
- botorch.optim.initializers
- botorch.optim.optimize
- botorch.optim.optimize_homotopy
- botorch.optim.optimize_mixed
- botorch.optim.parameter_constraints
- botorch.optim.stopping
- botorch.optim.utils.acquisition_utils
- botorch.optim.utils.model_utils
- botorch.optim.utils.numpy_utils
- botorch.optim.utils.timeout
- botorch.posteriors.ensemble
- botorch.posteriors.fully_bayesian
- botorch.posteriors.gpytorch
- botorch.posteriors.higher_order
- botorch.posteriors.multitask
- botorch.posteriors.posterior
- botorch.posteriors.posterior_list
- botorch.posteriors.torch
- botorch.posteriors.transformed
- botorch.sampling.base
- botorch.sampling.get_sampler
- botorch.sampling.index_sampler
- botorch.sampling.list_sampler
- botorch.sampling.normal
- botorch.sampling.pairwise_samplers
- botorch.sampling.pathwise.features.generators
- botorch.sampling.pathwise.features.maps
- botorch.sampling.pathwise.paths
- botorch.sampling.pathwise.posterior_samplers
- botorch.sampling.pathwise.prior_samplers
- botorch.sampling.pathwise.update_strategies
- botorch.sampling.pathwise.utils
- botorch.sampling.qmc
- botorch.sampling.stochastic_samplers
- botorch.settings
- botorch.test_functions.base
- botorch.test_functions.multi_fidelity
- botorch.test_functions.multi_objective
- botorch.test_functions.multi_objective_multi_fidelity
- botorch.test_functions.sensitivity_analysis
- botorch.test_functions.synthetic
- botorch.test_functions.utils
- botorch.test_utils.mock
- botorch.utils.constants
- botorch.utils.constraints
- botorch.utils.containers
- botorch.utils.context_managers
- botorch.utils.datasets
- botorch.utils.dispatcher
- botorch.utils.feasible_volume
- botorch.utils.gp_sampling
- botorch.utils.low_rank
- botorch.utils.multi_objective.box_decompositions.box_decomposition
- botorch.utils.multi_objective.box_decompositions.box_decomposition_list
- botorch.utils.multi_objective.box_decompositions.dominated
- botorch.utils.multi_objective.box_decompositions.non_dominated
- botorch.utils.multi_objective.box_decompositions.utils
- botorch.utils.multi_objective.hypervolume
- botorch.utils.multi_objective.pareto
- botorch.utils.multi_objective.scalarization
- botorch.utils.multitask
- botorch.utils.objective
- botorch.utils.probability.bvn
- botorch.utils.probability.lin_ess
- botorch.utils.probability.linalg
- botorch.utils.probability.mvnxpb
- botorch.utils.probability.truncated_multivariate_normal
- botorch.utils.probability.unified_skew_normal
- botorch.utils.probability.utils
- botorch.utils.rounding
- botorch.utils.safe_math
- botorch.utils.sampling
- botorch.utils.test_helpers
- botorch.utils.testing
- botorch.utils.torch
- botorch.utils.transforms
- botorch.utils.types
- torch.distributions.utils