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

Packages that use SGD
Package
Description
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
    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.