R/costTweedie.R
In EdwinGraham/EdNet: Train deep neural networks for classification and regression
Defines functions
costTweedie
costTweedie <- function(Y, Y_hat, p, weight=NULL){
if(is.null(weight)){
mean(devianceTweedie(Y, Y_hat, p))
} else{
weightedMean(devianceTweedie(Y, Y_hat, p), weight)
}
}
EdwinGraham/EdNet documentation built on May 6, 2019, 12:22 p.m.
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Defines functions costTweedie
costTweedie <- function(Y, Y_hat, p, weight=NULL){
if(is.null(weight)){
mean(devianceTweedie(Y, Y_hat, p))
} else{
weightedMean(devianceTweedie(Y, Y_hat, p), weight)
}
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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