energylossbeta {DistributionIV} | R Documentation |
Energy Loss Calculation with Beta Scaling
Description
This function calculates the energy loss for given tensors. The loss is calculated
as the mean of the L2 norms between x0
and x
and between x0
and xp
, each raised to the power of beta
,
subtracted by half the mean of the L2 norm between x
and xp
, also raised to the power of beta
.
Usage
energylossbeta(x0, x, xp, beta, verbose = FALSE)
Arguments
x0 |
A tensor representing the target values. |
x |
A tensor representing the model's stochastic predictions. |
xp |
A tensor representing another draw of the model's stochastic predictions. |
beta |
A numeric value for scaling the energy loss. |
verbose |
A boolean indicating whether to return prediction loss s1 = E(||x0-x||) and variance loss s2 = E(||x-xp||). |
Value
A scalar representing the calculated energy loss.
[Package DistributionIV version 0.1.0 Index]