loss.gr.cross.entropy {DPpack} | R Documentation |
Cross Entropy Loss Function Gradient
Description
This function implements cross entropy loss gradient with respect to y.hat
used for logistic regression in the form required by
EmpiricalRiskMinimizationDP.CMS
.
Usage
loss.gr.cross.entropy(y.hat, y)
Arguments
y.hat |
Vector or matrix of estimated labels. |
y |
Vector or matrix of true labels. |
Value
Vector or matrix of the cross entropy loss gradient for each element of y.hat and y.
Examples
y.hat <- c(0.1, 0.88, 0.02)
y <- c(0, 1, 0)
loss.gr.cross.entropy(y.hat,y)
[Package DPpack version 0.2.2 Index]