LambdaMultiFun

class negmas.preferences.LambdaMultiFun(f: Callable[[Any], float], bias: float = 0, min_value: float | None = None, max_value: float | None = None)[source]

Bases: MultiIssueFun

Attributes Summary

`bias`
`dim`
`f`
`max_value`
`min_value`

Methods Summary

`__call__`(x)	Call self as a function.
`minmax`(input)
`scale_by`(scale)
`shift_by`(offset)
`xml`(indx, issues[, bias])

Attributes Documentation

bias: float

dim

f: Callable[[Any], float]

max_value: float | None

min_value: float | None

Methods Documentation

__call__(x: Any) → float[source]: Call self as a function.

minmax(input: Iterable[Issue]) → tuple[float, float][source]

scale_by(scale: float) → LinearMultiFun[source]

shift_by(offset: float) → AffineMultiFun[source]

xml(indx, issues, bias: float = 0) → str[source]