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 and Description
GradientOptimiserOptions CLI options for configuring a gradient optimiser.

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

Class and Description
GradientOptimiserOptions CLI options for configuring a gradient optimiser.

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

Class and 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 and Description
GradientOptimiserOptions CLI options for configuring a gradient optimiser.