Uses of Package
org.tribuo.math.optimisers

Packages that use org.tribuo.math.optimisers

Package	Description
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.math.optimisers	Provides implementations of StochasticGradientOptimiser.
org.tribuo.regression.sgd	Provides infrastructure for Stochastic Gradient Descent based regression models.

Classes in org.tribuo.math.optimisers used by org.tribuo.classification.sgd.crf

Class	Description
GradientOptimiserOptions	CLI options for configuring a gradient optimiser.

Classes in org.tribuo.math.optimisers used by org.tribuo.classification.sgd.linear

Class	Description
GradientOptimiserOptions	CLI options for configuring a gradient optimiser.

Classes in org.tribuo.math.optimisers used by org.tribuo.math.optimisers

Class	Description
AdaDelta	An implementation of the AdaDelta gradient optimiser.
AdaGrad	An implementation of the AdaGrad gradient optimiser.
AdaGradRDA	An implementation of the AdaGrad gradient optimiser with regularized dual averaging.
Adam	An implementation of the Adam gradient optimiser.
GradientOptimiserOptions.StochasticGradientOptimiserType	Type of the gradient optimisers available in CLIs.
ParameterAveraging	Averages the parameters across a gradient run.
Pegasos	An implementation of the Pegasos gradient optimiser used primarily for solving the SVM problem.
RMSProp	An implementation of the RMSProp gradient optimiser.
SGD	An implementation of single learning rate SGD and optionally momentum.
SGD.Momentum	Momentum types.

Classes in org.tribuo.math.optimisers used by org.tribuo.regression.sgd

Class	Description
GradientOptimiserOptions	CLI options for configuring a gradient optimiser.