LogarithmicTransformation¶

class baybe.transformations.basic.LogarithmicTransformation[source]¶

Bases: MonotonicTransformation

A logarithmic transformation.

Public methods

`__init__`()	Method generated by attrs for class LogarithmicTransformation.
`abs`()	Take the absolute value of the output of the transformation.
`chain`(transformation, /)	Chain another transformation with the existing one.
`clamp`([min, max])	Clamp the output of the transformation.
`from_dict`(dictionary)	Create an object from its dictionary representation.
`from_json`(string)	Create an object from its JSON representation.
`get_codomain`([interval])	Get the codomain of a certain interval (assuming transformation continuity).
`get_image`([interval])	Get the image of a certain interval (assuming transformation continuity).
`negate`()	Negate the output of the transformation.
`to_botorch_objective`()	Convert to BoTorch objective.
`to_dict`()	Create an object's dictionary representation.
`to_json`()	Create an object's JSON representation.

__init__()¶

Method generated by attrs for class LogarithmicTransformation.

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

abs()¶

Take the absolute value of the output of the transformation.

Return type:: Transformation

chain(transformation: Transformation, /)¶

Chain another transformation with the existing one.

Return type:: Transformation

clamp(min: float = -inf, max: float = inf)¶

Clamp the output of the transformation.

Return type:: Transformation

classmethod from_dict(dictionary: dict)¶

Create an object from its dictionary representation.

Parameters:: dictionary (dict) – The dictionary representation.
Return type:: TypeVar(_T, bound= SerialMixin)
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, bound= SerialMixin)
Returns:: The reconstructed object.

get_codomain(interval: Interval | None = None, /)[source]¶

Get the codomain of a certain interval (assuming transformation continuity).

In accordance with the mathematical definition of a function’s codomain, we define the codomain of a given Interval under a certain (assumed continuous) Transformation to be an Interval guaranteed to contain all possible outcomes when the Transformation is applied to all points in the input Interval. In cases where the image cannot exactly be computed, it is often still possible to compute a codomain. The codomain always contains the image, but might be larger.

Return type:: Interval

get_image(interval: Interval | None = None, /)¶

Get the image of a certain interval (assuming transformation continuity).

In accordance with the mathematical definition of a function’s image, we define the image of a given Interval under a certain (assumed continuous) Transformation to be the smallest Interval containing all possible outcomes when the Transformation is applied to all points in the input Interval.

Return type:: Interval

negate()¶

Negate the output of the transformation.

Return type:: Transformation

to_botorch_objective()¶

Convert to BoTorch objective.

Return type:: MCAcquisitionObjective

to_dict()¶

Create an object’s dictionary representation.

Return type:: dict
Returns:: The dictionary representation of the object.

to_json()¶

Create an object’s JSON representation.

Return type:: str
Returns:: The JSON representation as a string.