loss_LL_math: Loglikelihood Error (math function)

In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R

Description

This function computes the Loglikelihood Error loss (logloss) per value provided x, y (preds, labels) probabilities.

Usage

loss_LL_math(x, y)

Arguments

x	The predictions.
y	The labels.

Details

Loss Formula : - (y_true * log(y_pred) + (1 - y_true) * log(1 - y_pred))

Gradient Formula : (1 - y_true)/(1 - y_pred) - y_true/y_pred

Hessian Formula : (1 - y_true)/((1 - y_pred) * (1 - y_pred)) + y_true/(y_pred * y_pred)

Value

The Loglikelihood Error per value.

Examples

## Not run: 
SymbolicLoss(fc = loss_LL_math, xmin = 0, xmax = 1, y = rep(0, 21))

## End(Not run)

Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.