Module: tfm.uplift.metrics.poisson_metrics
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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.
Other Members |
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annotations
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Instance of __future__._Feature
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Last updated 2026-11-06 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-11-06 UTC."],[],[]]
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