loss_huber: Huber Loss
In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
loss_huber R Documentation
Huber Loss
Description
Creates a Huber loss function object.
Usage
loss_huber(delta = 1)
Arguments
delta
A positive numeric value controlling the transition point
between squared and absolute loss behavior.
Value
An object of class "met_loss".
References
Huber, P. J. (1964). Robust Estimation of a Location Parameter.
The Annals of Mathematical Statistics, 35(1), 73–101.
doi:10.1214/aoms/1177703732
Examples
loss <- loss_huber(delta = 1)
loss$fn(c(1, 2, 3), c(1.1, 1.9, 3.2))
metANN documentation built on May 16, 2026, 1:06 a.m.
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| loss_huber | R Documentation |
Huber Loss
Description
Creates a Huber loss function object.
Usage
loss_huber(delta = 1)
Arguments
delta |
A positive numeric value controlling the transition point between squared and absolute loss behavior. |
Value
An object of class "met_loss".
References
Huber, P. J. (1964). Robust Estimation of a Location Parameter. The Annals of Mathematical Statistics, 35(1), 73–101. doi:10.1214/aoms/1177703732
Examples
loss <- loss_huber(delta = 1)
loss$fn(c(1, 2, 3), c(1.1, 1.9, 3.2))
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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