NumericalTarget

class baybe.targets.numerical.NumericalTarget

Bases: Target, SerialMixin

Class for numerical targets.

Public methods

__init__(name, mode[, bounds, transformation])	Method generated by attrs for class NumericalTarget.
from_dict(dictionary)	Create an object from its dictionary representation.
from_json(string)	Create an object from its JSON representation.
summary()	Return a custom summarization of the target.
to_dict()	Create an object's dictionary representation.
to_json()	Create an object's JSON representation.
to_objective()	Create a single-task objective from the target.
transform(data)	Transform data into computational representation.

Public attributes and properties

mode	The target mode.
bounds	Optional target bounds.
transformation	An optional target transformation.
name	The name of the target.

__init__(name: str, mode, bounds: None | Iterable | Interval = None, transformation=NOTHING)

Method generated by attrs for class NumericalTarget.

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.

summary()

Return a custom summarization of the target.

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.

to_objective()

Create a single-task objective from the target.

Return type:

SingleTargetObjective

transform(data: DataFrame)

Transform data into computational representation.

The transformation depends on the target mode, e.g. minimization, maximization, matching, etc.

Parameters:

data (DataFrame) – The data to be transformed.

Return type:

DataFrame

Returns:

A dataframe containing the transformed data.

bounds: Interval

Optional target bounds.

mode: TargetMode

The target mode.

name: str

The name of the target.

transformation: TargetTransformation | None

An optional target transformation.