scalarization.Scalarizer

Module Contents

Classes

Scalarizer

Implements a class for scalarizing vector valued functions with a

DiscreteScalarizer

Implements a class to scalarize discrete vectors given a scalarizing function.

Attributes

vectors

class scalarization.Scalarizer.Scalarizer(evaluator: Callable, scalarizer: Callable, evaluator_args: Dict = None, scalarizer_args: Dict = None)[source]

Implements a class for scalarizing vector valued functions with a given scalarization function.

Parameters:

  • evaluator (Callable) – A Callable object returning a numpy array.

  • scalarizer (Callable) – A function which should accepts as its arguments the output of evaluator and return a single value.

  • evaluator_args (Any, optional) – Optional arguments to be passed to evaluator. Defaults to None.

  • scalarizer_args (Any, optional) – Optional arguments to be passed to scalarizer. Defaults to None.

evaluate(xs: numpy.ndarray) → numpy.ndarray[source]

Evaluates the scalarized function with the given arguments and returns a scalar value for each vector of variables given in a numpy array.

Parameters:

xs (np.ndarray) – A 2D numpy array containing vectors of variables on each of its rows.

Returns:

A 1D numpy array with the values returned by the

scalarizer for each row in xs.

Return type:

np.ndarray

__call__(xs: numpy.ndarray) → numpy.ndarray[source]

Wrapper to the evaluate method.

class scalarization.Scalarizer.DiscreteScalarizer(scalarizer: Callable, scalarizer_args: Dict = None)[source]

Implements a class to scalarize discrete vectors given a scalarizing function.

evaluate(vectors: numpy.ndarray) → numpy.ndarray[source]
__call__(vectors: numpy.ndarray)[source]
scalarization.Scalarizer.vectors[source]