Uses of Package
org.tribuo.math

Packages that use org.tribuo.math

Package	Description
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.fm	Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.common.sgd	Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.math	Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.optimisers	Provides implementations of StochasticGradientOptimiser.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.

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

Class	Description
Parameters	An interface to a Tensor[] array which accepts updates to the parameters.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

Classes in org.tribuo.math used by org.tribuo.classification.sgd.fm

Class	Description
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

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

Class	Description
LinearParameters	A Parameters for producing linear models.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

Classes in org.tribuo.math used by org.tribuo.common.sgd

Class	Description
FeedForwardParameters	A Parameters for models which make a single prediction like logistic regressions and neural networks.
LinearParameters	A Parameters for producing linear models.
Parameters	An interface to a Tensor[] array which accepts updates to the parameters.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

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

Class	Description
FeedForwardParameters	A Parameters for models which make a single prediction like logistic regressions and neural networks.
LinearParameters	A Parameters for producing linear models.
Parameters	An interface to a Tensor[] array which accepts updates to the parameters.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

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

Class	Description
Parameters	An interface to a Tensor[] array which accepts updates to the parameters.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

Classes in org.tribuo.math used by org.tribuo.multilabel.sgd.fm

Class	Description
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

Classes in org.tribuo.math used by org.tribuo.multilabel.sgd.linear

Class	Description
LinearParameters	A Parameters for producing linear models.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

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

Class	Description
StochasticGradientOptimiser	Interface for gradient based optimisation methods.

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

Class	Description
LinearParameters	A Parameters for producing linear models.
StochasticGradientOptimiser	Interface for gradient based optimisation methods.