opendataval.dataval.Sampler

class opendataval.dataval.Sampler(*args, **kwargs)

Abstract Sampler class for marginal contribution based data evaluators.

Many marginal contribution based data evaluators depend on a sampling method as they typically can be very computationally expensive. The Sampler class provides a blue print of required methods to be used and the following samplers provide ways of caching computed marginal contributions if given a “cache_name”.

__init__()

Methods

__init__()
compute_marginal_contribution(*args, **kwargs)	Given args and kwargs for the value func, computes marginal contribution.
set_coalition(coalition)	Given the coalition, initializes data structures to compute marginal contrib.
set_evaluator(value_func)	Sets the evaluator function to evaluate the utility of a coalition