LogFun

class negmas.preferences.LogFun(tau: float, bias: float = 0, base: float = 2.718281828459045, scale: float = 1.0)

Bases: BaseFun

Attributes Summary

base
bias
dim
scale
tau

Methods Summary

__call__(x)	Call self as a function.
from_dict(d[, python_class_identifier])
max(input)
min(input)
minmax(input)
scale_by(scale)
shift_by(offset)
to_dict([python_class_identifier])
xml(indx, issue, bias)

Attributes Documentation

base: float

bias: float

dim

scale: float

tau: float

Methods Documentation

__call__(x: float)

Call self as a function.

classmethod from_dict(d: dict, python_class_identifier='__python_class__')

max(input: Issue) → float

min(input: Issue) → float

minmax(input) → tuple[float, float]

scale_by(scale: float) → LogFun

shift_by(offset: float) → LogFun

to_dict(python_class_identifier='__python_class__') → dict[str, Any]

xml(indx: int, issue: Issue, bias) → str