minus <-
function (gradients, gradients.old, weights, length.weights,
nrow.weights, ncol.weights, learningrate, learningrate.factor,
learningrate.limit, algorithm, exclude)
{
weights <- unlist(weights)
temp <- gradients.old * gradients
positive <- temp > 0
negative <- temp < 0
if (any(positive))
learningrate[positive] <- pmin.int(learningrate[positive] *
learningrate.factor$plus, learningrate.limit$max)
if (any(negative))
learningrate[negative] <- pmax.int(learningrate[negative] *
learningrate.factor$minus, learningrate.limit$min)
if (algorithm != "rprop-") {
delta <- 10^-6
notzero <- gradients != 0
gradients.notzero <- gradients[notzero]
if (algorithm == "slr") {
min <- which.min(learningrate[notzero])
}
else if (algorithm == "sag") {
min <- which.min(abs(gradients.notzero))
}
if (length(min) != 0) {
temp <- learningrate[notzero] * gradients.notzero
sum <- sum(temp[-min]) + delta
learningrate[notzero][min] <- min(max(-sum/gradients.notzero[min],
learningrate.limit$min), learningrate.limit$max)
}
}
weights[-exclude] <- weights[-exclude] - sign(gradients) *
learningrate
list(gradients.old = gradients, weights = relist(weights,
nrow.weights, ncol.weights), learningrate = learningrate)
}
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