Uses of Interface
org.tribuo.math.Parameters
Packages that use Parameters
Package
Description
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of
math related utils.
Provides implementations of
StochasticGradientOptimiser.-
Uses of Parameters in org.tribuo.classification.sgd.crf
Classes in org.tribuo.classification.sgd.crf that implement Parameters -
Uses of Parameters in org.tribuo.math
Classes in org.tribuo.math that implement ParametersModifier and TypeClassDescriptionclassA Parameters for producing single label linear models.Methods in org.tribuo.math with parameters of type ParametersModifier and TypeMethodDescriptiondefault voidStochasticGradientOptimiser.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 ParametersModifier and TypeMethodDescriptionvoidAdaDelta.initialise(Parameters parameters) voidAdaGrad.initialise(Parameters parameters) voidAdaGradRDA.initialise(Parameters parameters) voidAdam.initialise(Parameters parameters) voidParameterAveraging.initialise(Parameters parameters) voidPegasos.initialise(Parameters parameters) voidRMSProp.initialise(Parameters parameters) voidSGD.initialise(Parameters parameters)