Uses of Interface
org.tribuo.math.Parameters

Packages that use Parameters

Package	Description
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using 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.

Uses of Parameters in org.tribuo.classification.sgd.crf

Classes in org.tribuo.classification.sgd.crf that implement Parameters

Modifier and Type	Class and Description
class	CRFParameters A Parameters for training a CRF using SGD.

Uses of Parameters in org.tribuo.math

Subinterfaces of Parameters in org.tribuo.math

Modifier and Type	Interface and Description
interface	FeedForwardParameters A Parameters for models which make a single prediction like logistic regressions and neural networks.

Classes in org.tribuo.math that implement Parameters

Modifier and Type	Class and Description
class	LinearParameters A Parameters for producing linear models.

Methods in org.tribuo.math with parameters of type Parameters

Modifier and Type	Method and Description
default void	StochasticGradientOptimiser.initialise(Parameters parameters) Initialises the gradient optimiser.

Uses of Parameters in org.tribuo.math.optimisers

Methods in org.tribuo.math.optimisers with parameters of type Parameters

Modifier and Type	Method and Description
void	SGD.initialise(Parameters parameters)
void	RMSProp.initialise(Parameters parameters)
void	Pegasos.initialise(Parameters parameters)
void	ParameterAveraging.initialise(Parameters parameters)
void	Adam.initialise(Parameters parameters)
void	AdaGradRDA.initialise(Parameters parameters)
void	AdaGrad.initialise(Parameters parameters)
void	AdaDelta.initialise(Parameters parameters)