Poisson_LogLoss: Poisson Log loss
In MLmetrics: Machine Learning Evaluation Metrics

Poisson_LogLoss

R Documentation

Poisson Log loss

Description

Compute the log loss/cross-entropy loss.

Usage

Poisson_LogLoss(y_pred, y_true)

Arguments

`y_pred`	Predicted labels vector, as returned by a model
`y_true`	Ground truth (correct) labels vector

Value

Log loss/Cross-Entropy Loss

Examples

d_AD <- data.frame(treatment = gl(3,3), outcome = gl(3,1,9),
                   counts = c(18,17,15,20,10,20,25,13,12))
glm_poisson <- glm(counts ~ outcome + treatment,
                   family = poisson(link = "log"), data = d_AD)
Poisson_LogLoss(y_pred = glm_poisson$fitted.values, y_true = d_AD$counts)

MLmetrics documentation built on May 29, 2024, 9:34 a.m.