ContinuousCardinalityConstraint

class baybe.constraints.continuous.ContinuousCardinalityConstraint

Bases: CardinalityConstraint, ContinuousNonlinearConstraint

Class for continuous cardinality constraints.

Public methods

__init__(parameters[, min_cardinality, ...])	Method generated by attrs for class ContinuousCardinalityConstraint.
from_dict(dictionary)	Create an object from its dictionary representation.
from_json(string)	Create an object from its JSON representation.
sample_inactive_parameters([batch_size])	Sample sets of inactive parameters according to the cardinality constraints.
summary()	Return a custom summarization of the constraint.
to_dict()	Create an object's dictionary representation.
to_json()	Create an object's JSON representation.

Public attributes and properties

eval_during_augmentation	Class variable encoding whether the constraint could be considered during data augmentation.
eval_during_creation	Class variable encoding whether the condition is evaluated during creation.
eval_during_modeling	Class variable encoding whether the condition is evaluated during modeling.
is_continuous	Boolean indicating if this is a constraint over continuous parameters.
is_discrete	Boolean indicating if this is a constraint over discrete parameters.
max_cardinality	The maximum allowed cardinality.
min_cardinality	The minimum required cardinality.
numerical_only	Class variable encoding whether the constraint is valid only for numerical parameters.
parameters	The list of parameters used for the constraint.

__init__(parameters: list[str], min_cardinality: int = 0, max_cardinality: int = NOTHING)

Method generated by attrs for class ContinuousCardinalityConstraint.

For details on the parameters, see Public attributes and properties.

classmethod from_dict(dictionary: dict)

Create an object from its dictionary representation.

Parameters:

dictionary (dict) – The dictionary representation.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

classmethod from_json(string: str)

Create an object from its JSON representation.

Parameters:

string (str) – The JSON representation of the object.

Return type:

TypeVar(_T)

Returns:

The reconstructed object.

sample_inactive_parameters(batch_size: int = 1)

Sample sets of inactive parameters according to the cardinality constraints.

Parameters:

batch_size (int) – The number of parameter sets to be sampled.

Return type:

list[set[str]]

Returns:

A list of sampled inactive parameter sets, where each set holds the corresponding parameter names.

summary()

Return a custom summarization of the constraint.

Return type:

dict

to_dict()

Create an object’s dictionary representation.

Return type:

dict

to_json()

Create an object’s JSON representation.

Return type:

str

Returns:

The JSON representation as a string.

eval_during_augmentation: ClassVar[bool] = False

Class variable encoding whether the constraint could be considered during data augmentation.

eval_during_creation: ClassVar[bool] = False

Class variable encoding whether the condition is evaluated during creation.

eval_during_modeling: ClassVar[bool] = True

Class variable encoding whether the condition is evaluated during modeling.

property is_continuous: bool

Boolean indicating if this is a constraint over continuous parameters.

property is_discrete: bool

Boolean indicating if this is a constraint over discrete parameters.

max_cardinality: int

The maximum allowed cardinality.

min_cardinality: int

The minimum required cardinality.

numerical_only: ClassVar[bool] = True

Class variable encoding whether the constraint is valid only for numerical parameters.

parameters: list[str]

The list of parameters used for the constraint.