User Guide
API Reference
SerialisableBaseModel
SerialisableBaseModel.Config
SerialisableBaseModel.Config.validate_assignment
SerialisableBaseModel.Config.arbitrary_types_allowed
SerialisableBaseModel.Config.json_encoders
SerialisableBaseModel.__reduce__()
HashableSerialisableBaseModel
HashableSerialisableBaseModel.__hash__()
example_from_schema()
build_example()
apply_validators()
Trial
TrialUpdate
OptimisationExperiment
NewExperimentRequest
AbstractAcquisition
MarginalisedAcquisitionFunction
MarginalisationData
GaussianProcessData
GaussianProcessConditionalPredictiveFactory
ExpectedImprovementAcquisitionFactory
TopTwoAcquisitionFactory
run_multi_lookahead()
convert_tree_to_graph()
tfpb
BayesianOptimiser
ContinuousPrior
IntegerPrior
CategoricalPrior
Parameter
ParameterSpace
build_prior_model()
InvalidTrial
BayesianOptimisation
latin_hypercube()
current_utc()
bojaxns.basic
Module Contents
Bases: pydantic.BaseModel
pydantic.BaseModel
Bases: SerialisableBaseModel
Generate example from schema and return as dict.
model (Type[pydantic.BaseModel]) – BaseModel
Dict[str, Any]
Returns: dict of example
model (Type[_T]) –
_T
validators (List[Callable]) –