Uses of Class
org.tribuo.math.optimisers.SGD

Packages that use SGD

Package	Description
org.tribuo.math.optimisers	Provides implementations of StochasticGradientOptimiser.

Uses of SGD in org.tribuo.math.optimisers

Methods in org.tribuo.math.optimisers that return SGD

Modifier and Type	Method and Description
static SGD	SGD.getLinearDecaySGD(double learningRate) Generates an SGD optimiser with a linearly decaying learning rate initialised to learningRate.
static SGD	SGD.getLinearDecaySGD(double learningRate, double rho, SGD.Momentum momentumType) Generates an SGD optimiser with a linearly decaying learning rate initialised to learningRate, with momentum.
static SGD	SGD.getSimpleSGD(double learningRate) Generates an SGD optimiser with a constant learning rate set to learningRate.
static SGD	SGD.getSimpleSGD(double learningRate, double rho, SGD.Momentum momentumType) Generates an SGD optimiser with a constant learning rate set to learningRate, with momentum.
static SGD	SGD.getSqrtDecaySGD(double learningRate) Generates an SGD optimiser with a sqrt decaying learning rate initialised to learningRate.
static SGD	SGD.getSqrtDecaySGD(double learningRate, double rho, SGD.Momentum momentumType) Generates an SGD optimiser with a sqrt decaying learning rate initialised to learningRate, with momentum.