IdentityTransformation¶
- class baybe.transformations.basic.IdentityTransformation[source]¶
Bases:
MonotonicTransformation
The identity transformation.
Public methods
__init__
()Method generated by attrs for class IdentityTransformation.
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.
Convert to BoTorch objective.
Convert to BoTorch posterior transform.
to_dict
()Create an object's dictionary representation.
to_json
()Create an object's JSON representation.
- __init__()¶
Method generated by attrs for class IdentityTransformation.
For details on the parameters, see Public attributes and properties.
- abs()¶
Take the absolute value of the output of the transformation.
- Return type:
- chain(transformation: Transformation, /)¶
Chain another transformation with the existing one.
- Return type:
- get_codomain(interval: Interval | None = None, /)¶
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 anInterval
guaranteed to contain all possible outcomes when theTransformation
is applied to all points in the inputInterval
. 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:
- 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 smallestInterval
containing all possible outcomes when theTransformation
is applied to all points in the inputInterval
.- Return type:
- negate()¶
Negate the output of the transformation.
- Return type:
- to_botorch_objective()¶
Convert to BoTorch objective.
- Return type:
MCAcquisitionObjective
- to_botorch_posterior_transform()[source]¶
Convert to BoTorch posterior transform.
- Return type:
AffinePosteriorTransform
- Returns:
The representation of the transform as BoTorch posterior transform.
- to_dict()¶
Create an object’s dictionary representation.
- Return type:
- Returns:
The dictionary representation of the object.