evaluators (pmrf.evaluators)

Callables that evaluate a model over frequency.

Classes

AbstractEvaluator()	Abstract base class for callables that evaluate a model over frequency.
Feature(alias)	Extracts an RF feature using a string-based alias.
TargetLoss(predictor, target, loss)	Computes a loss between a model prediction and some target.
MarginalLogLikelihood(predictor, observed, ...)	Computes the log of the probability of observed data by conditioning a likelihood function on a model prediction while marginalizing out a potential discrepancy model.
GibbsMarginalLogLikelihood(predictor, ...[, ...])	Computes a generalized log-posterior (the Gibbs measure) using a loss function instead of a strict generative likelihood.
Goal(feature[, operator, target, weight, ...])	Computes a design goal using a hinge-based loss evaluator.