alibi.utils.wrappers module

class alibi.utils.wrappers.ArgmaxTransformer(predictor)[source]

Bases: object

A transformer for converting classification output probability tensors to class labels. It assumes the predictor is a callable that can be called with a N-tensor of data points x and produces an N-tensor of outputs.

class alibi.utils.wrappers.Predictor(clf, preprocessor=None)[source]

Bases: object


A decorator that is used to support singledispatch style functionality for instance methods. By default, singledispatch selects a function to call from registered based on the type of args[0]:

def wrapper(*args, **kw):

return dispatch(args[0].__class__)(*args, **kw)

This uses singledispatch to do achieve this but instead uses args[1] since args[0] will always be self.