log_loss: Log Loss

In PaoloLuciano/BPWPM: Bayesian Piecewise Polinomial Model

Description

An implementation of the Log-Loss function for the binomial case

Usage

log_loss(Y, p, eps = 1e-15, verb = TRUE)

Arguments

Y	Response vector of n binary observatios (integers 0,1 - vector of size n) Can be encoded as a factor a numeric vector.
p	Vector of fitted probabilities for each Y.
eps	Machine error to hanlde limit cases on the logarithm function
verb	short for verbose, if TRUE, prints aditional information (logical)

Value

The value of the Log Loss function (numeric). The smaller, the better

Examples

log_loss(true_values, fitted probabilities)
log_loss(true_values, fitted probabilities)
log_loss(true_values, fitted probabilities, 1e-30, FALSE)

PaoloLuciano/BPWPM documentation built on May 21, 2019, 1:20 p.m.