Module: tfm.uplift.metrics.poisson_metrics

Poisson regression metrics.

Classes

class LogLoss: Computes the (weighted) poisson log loss sliced by treatment group.

class LogLossMeanBaseline: Computes the (weighted) poisson log loss for a mean predictor.

class LogLossMinimum: Computes the minimum achievable (weighted) poisson log loss.

class PseudoRSquared: Computes the pseudo R-squared metric for poisson regression.

annotations Instance of __future__._Feature