Uses of Interface
jsat.math.decayrates.DecayRate

Packages that use DecayRate

Package	Description
jsat.classifiers.linear
jsat.classifiers.neuralnetwork
jsat.math.decayrates
jsat.parameters
jsat.regression

Uses of DecayRate in jsat.classifiers.linear

Methods in jsat.classifiers.linear that return DecayRate

Modifier and Type	Method and Description
DecayRate	LinearSGD.getEtaDecay() Returns the decay rate in use
DecayRate	StochasticMultinomialLogisticRegression.getLearningRateDecay() Returns the decay rate in use

Methods in jsat.classifiers.linear with parameters of type DecayRate

Modifier and Type	Method and Description
void	LinearSGD.setEtaDecay(DecayRate decay) Sets the rate at which η is decayed at each update.
void	StochasticMultinomialLogisticRegression.setLearningRateDecay(DecayRate learningRateDecay) Sets the decay rate used to reduce the learning rate after each epoch.

Constructors in jsat.classifiers.linear with parameters of type DecayRate

Constructor and Description
LinearSGD(LossFunc loss, double eta, DecayRate decay, double lambda0, double lambda1) Creates a new LinearSGD learner.

Uses of DecayRate in jsat.classifiers.neuralnetwork

Fields in jsat.classifiers.neuralnetwork declared as DecayRate

Modifier and Type	Field and Description
static DecayRate	SOM.DEFAULT_LEARNING_DECAY
static DecayRate	SOM.DEFAULT_NEIGHBOR_DECAY

Methods in jsat.classifiers.neuralnetwork that return DecayRate

Modifier and Type	Method and Description
DecayRate	SGDNetworkTrainer.getEtaDecay()
DecayRate	SOM.getLearningDecay() The rate the SOM learns decays over each iteration, and this defines the way in which the rate decays.
DecayRate	LVQ.getLearningDecay() Returns the method used to decay the learning rate over each iteration
DecayRate	BackPropagationNet.getLearningRateDecay() Returns the decay rate used to adjust the learning rate after each epoch
DecayRate	SOM.getNeighborDecay() The range of effect each data point has decays with each iteration, and this defines the way in which the rate decays.

Methods in jsat.classifiers.neuralnetwork with parameters of type DecayRate

Modifier and Type	Method and Description
void	SGDNetworkTrainer.setEtaDecay(DecayRate etaDecay) Sets the decay rate on the global learning rate over time
void	SOM.setLearningDecay(DecayRate learningDecay) The rate the SOM learns decays over each iteration, and this defines the way in which the rate decays.
void	LVQ.setLearningDecay(DecayRate learningDecay) Sets the decay rate to apply to the learning rate.
void	BackPropagationNet.setLearningRateDecay(DecayRate learningRateDecay) Sets the decay rate used to adjust the learning rate after each epoch
void	SOM.setNeighborDecay(DecayRate neighborDecay) The range of effect each data point has decays with each iteration, and this defines the way in which the rate decays.

Constructors in jsat.classifiers.neuralnetwork with parameters of type DecayRate

Constructor and Description
LVQ(DistanceMetric dm, int iterations, double learningRate, int representativesPerClass, LVQ.LVQVersion lvqVersion, DecayRate learningDecay) Creates a new LVQ instance
LVQLLC(DistanceMetric dm, int iterations, Classifier localClasifier, double learningRate, int representativesPerClass, LVQ.LVQVersion lvqVersion, DecayRate learningDecay) Creates a new LVQ-LLC instance

Uses of DecayRate in jsat.math.decayrates

Classes in jsat.math.decayrates that implement DecayRate

Modifier and Type	Class and Description
class	ExponetialDecay The Exponential Decay requires the maximum time step to be explicitly known ahead of time.
class	InverseDecay Decays an input by the inverse of the amount of time that has occurred, the max time being irrelevant.
class	LinearDecay The Linear Decay requires the maximum time step to be explicitly known ahead of time.
class	NoDecay A possible value for a decaying learning rate.
class	PowerDecay Decays an input by power of the amount of time that has occurred, the max time being irrelevant.

Methods in jsat.math.decayrates that return DecayRate

Modifier and Type	Method and Description
DecayRate	PowerDecay.clone()
DecayRate	NoDecay.clone()
DecayRate	LinearDecay.clone()
DecayRate	InverseDecay.clone()
DecayRate	ExponetialDecay.clone()
DecayRate	DecayRate.clone()

Uses of DecayRate in jsat.parameters

Methods in jsat.parameters that return types with arguments of type DecayRate

Modifier and Type	Method and Description
List<DecayRate>	DecayRateParameter.parameterOptions()

Uses of DecayRate in jsat.regression

Methods in jsat.regression that return DecayRate

Modifier and Type	Method and Description
DecayRate	StochasticRidgeRegression.getLearningDecay() Returns the learning decay rate used

Methods in jsat.regression with parameters of type DecayRate

Modifier and Type	Method and Description
void	StochasticRidgeRegression.setLearningDecay(DecayRate learningDecay) Sets the learning rate decay function to use.

Constructors in jsat.regression with parameters of type DecayRate

Constructor and Description
StochasticRidgeRegression(double lambda, int epochs, int batchSize, double learningRate, DecayRate learningDecay) Creates a new stochastic Ridge Regression learner