Uses of Class
de.jungblut.online.regularization.CostWeightTuple

Packages that use CostWeightTuple

Package	Description
de.jungblut.online.minimizer
de.jungblut.online.regularization

Uses of CostWeightTuple in de.jungblut.online.minimizer

Methods in de.jungblut.online.minimizer that return CostWeightTuple

Modifier and Type	Method and Description
CostWeightTuple	StochasticGradientDescent.updateWeights(de.jungblut.math.minimize.CostGradientTuple observed)

Uses of CostWeightTuple in de.jungblut.online.regularization

Methods in de.jungblut.online.regularization that return CostWeightTuple

Modifier and Type	Method and Description
CostWeightTuple	WeightUpdater.computeNewWeights(de.jungblut.math.DoubleVector theta, de.jungblut.math.DoubleVector gradient, double learningRate, long iteration, double lambda, double cost) Computes the update for the given weights.
CostWeightTuple	L1Regularizer.computeNewWeights(de.jungblut.math.DoubleVector theta, de.jungblut.math.DoubleVector gradient, double learningRate, long iteration, double lambda, double cost)
CostWeightTuple	GradientDescentUpdater.computeNewWeights(de.jungblut.math.DoubleVector theta, de.jungblut.math.DoubleVector gradient, double learningRate, long iteration, double lambda, double cost) Simplistic gradient descent without regularization.
CostWeightTuple	AdaptiveFTRLRegularizer.computeNewWeights(de.jungblut.math.DoubleVector theta, de.jungblut.math.DoubleVector gradient, double learningRate, long iteration, double lambda, double cost)