Uses of Interface
org.tribuo.math.Parameters
Package
Description
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
Provides the base classes for models trained with 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
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Uses of Parameters in org.tribuo.classification.sgd.crf
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Uses of Parameters in org.tribuo.common.sgd
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Uses of Parameters in org.tribuo.math
Modifier and TypeInterfaceDescriptioninterface
A Parameters for models which make a single prediction like logistic regressions and neural networks.Modifier and TypeMethodDescriptiondefault void
StochasticGradientOptimiser.initialise
(Parameters parameters) Initialises the gradient optimiser. -
Uses of Parameters in org.tribuo.math.optimisers
Modifier and TypeMethodDescriptionvoid
AdaDelta.initialise
(Parameters parameters) void
AdaGrad.initialise
(Parameters parameters) void
AdaGradRDA.initialise
(Parameters parameters) void
Adam.initialise
(Parameters parameters) void
ParameterAveraging.initialise
(Parameters parameters) void
Pegasos.initialise
(Parameters parameters) void
RMSProp.initialise
(Parameters parameters) void
SGD.initialise
(Parameters parameters)