Nothing
gpScaleBiasGradient <-
function(model) {
g = list()
if (model$learnScales) {
## 'drop' converts row matrix to column vector by default.
g = 1/model$scale * drop(model$innerProducts-1)
fhandle <- get(model$scaleTransform$func, mode="function")
g = g * fhandle(model$scale, "gradfact")
}
return (g)
}
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