Uses of Class
edu.illinois.cs.cogcomp.lbjava.learn.Learner.Parameters

Packages that use Learner.Parameters

Package	Description
edu.illinois.cs.cogcomp.lbjava.learn

Uses of Learner.Parameters in edu.illinois.cs.cogcomp.lbjava.learn

Subclasses of Learner.Parameters in edu.illinois.cs.cogcomp.lbjava.learn

Modifier and Type	Class and Description
static class	AdaBoost.Parameters A container for all of AdaBoost's configurable parameters.
static class	AdaGrad.Parameters A container for all of AdaGrad's configurable parameters.
static class	BinaryMIRA.Parameters Simply a container for all of BinaryMIRA's configurable parameters.
static class	LinearThresholdUnit.Parameters Simply a container for all of LinearThresholdUnit's configurable parameters.
static class	MultiLabelLearner.Parameters Simply a container for all of MultiLabelLearner's configurable parameters.
static class	MuxLearner.Parameters Simply a container for all of MuxLearner's configurable parameters.
static class	NaiveBayes.Parameters Simply a container for all of NaiveBayes's configurable parameters.
static class	PassiveAggressive.Parameters Simply a container for all of PassiveAggressive's configurable parameters.
static class	SparseAveragedPerceptron.Parameters Simply a container for all of SparseAveragedPerceptron's configurable parameters.
static class	SparseConfidenceWeighted.Parameters Simply a container for all of SparseConfidenceWeighted's configurable parameters.
static class	SparseMIRA.Parameters Simply a container for all of SparseMIRA's configurable parameters.
static class	SparseNetworkLearner.Parameters Simply a container for all of SparseNetworkLearner's configurable parameters.
static class	SparsePerceptron.Parameters Simply a container for all of SparsePerceptron's configurable parameters.
static class	SparseWinnow.Parameters Simply a container for all of SparseWinnow's configurable parameters.
static class	StochasticGradientDescent.Parameters Simply a container for all of StochasticGradientDescent's configurable parameters.
static class	SupportVectorMachine.Parameters A container for all of SupportVectorMachine's configurable parameters.
static class	WekaWrapper.Parameters Simply a container for all of WekaWrapper's configurable parameters.

Methods in edu.illinois.cs.cogcomp.lbjava.learn that return Learner.Parameters

Modifier and Type	Method and Description
Learner.Parameters	SparseMIRA.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	PassiveAggressive.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	MuxLearner.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	BinaryMIRA.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SupportVectorMachine.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SparseWinnow.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SparseNetworkLearner.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SparseConfidenceWeighted.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	NaiveBayes.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	WekaWrapper.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	StochasticGradientDescent.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SparseAveragedPerceptron.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	LinearThresholdUnit.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	Learner.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	AdaBoost.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	SparsePerceptron.getParameters() Retrieves the parameters that are set in this learner.
Learner.Parameters	MultiLabelLearner.getParameters() Retrieves the parameters that are set in this learner.
static Learner.Parameters	Learner.readParameters(URL url) Deserializes a Learner.Parameters object out of the specified locaiton.
Learner.Parameters	BatchTrainer.tune(Learner.Parameters[] parameters, int[] rounds, int k, FoldParser.SplitPolicy splitPolicy, double alpha, TestingMetric metric) Tune learning algorithm parameters using cross validation.
Learner.Parameters	BatchTrainer.tune(Learner.Parameters[] parameters, int[] rounds, Parser devParser, TestingMetric metric) Tune learning algorithm parameters against a development set.

Methods in edu.illinois.cs.cogcomp.lbjava.learn with parameters of type Learner.Parameters

Modifier and Type	Method and Description
void	Learner.setParameters(Learner.Parameters p) Sets the values of parameters that control the behavior of this learning algorithm.
Learner.Parameters	BatchTrainer.tune(Learner.Parameters[] parameters, int[] rounds, int k, FoldParser.SplitPolicy splitPolicy, double alpha, TestingMetric metric) Tune learning algorithm parameters using cross validation.
Learner.Parameters	BatchTrainer.tune(Learner.Parameters[] parameters, int[] rounds, Parser devParser, TestingMetric metric) Tune learning algorithm parameters against a development set.
static void	Learner.writeParameters(Learner.Parameters p, String file) Serializes a Learner.Parameters object to the specified file.

Constructors in edu.illinois.cs.cogcomp.lbjava.learn with parameters of type Learner.Parameters

Constructor and Description
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(Learner.Parameters p) Copy constructor.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.