Uses of Interface
gov.sandia.cognition.learning.experiment.LearningExperiment

Packages that use LearningExperiment

Package	Description
gov.sandia.cognition.learning.experiment	Provides experiments for validating the performance of learning algorithms.

Uses of LearningExperiment in gov.sandia.cognition.learning.experiment

Classes in gov.sandia.cognition.learning.experiment that implement LearningExperiment

Modifier and Type	Class and Description
class	AbstractLearningExperiment The AbstractLearningExperiment class implements the general functionality of the LearningExperiment interface, which is mainly the handling of listeners and firing of events.
class	AbstractValidationFoldExperiment<InputDataType,FoldDataType> The AbstractValidationFoldExperiment class implements a common way of structuring an experiment around a ValidationFoldCreator object where the fold creator is used to create each of the individual trials of the experiment.
class	LearnerComparisonExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType> The LearnerComparisonExperiment compares the performance of two machine learning algorithms to determine (using a statistical test) if the two algorithms have significantly different performance.
class	LearnerRepeatExperiment<InputDataType,LearnedType,StatisticType,SummaryType> Runs an experiment where the same learner is evaluated multiple times on the same data.
class	LearnerValidationExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType> The LearnerValidationExperiment class implements an experiment where a supervised machine learning algorithm is evaluated by applying it to a set of folds created from a given set of data.
class	OnlineLearnerValidationExperiment<DataType,LearnedType,StatisticType,SummaryType> Implements an experiment where an incremental supervised machine learning algorithm is evaluated by applying it to a set of data by successively testing on each item and then training on it.
class	ParallelLearnerValidationExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType> Parallel version of the LearnerValidationExperiment class that executes the validations experiments across available cores and hyperthreads.
class	SupervisedLearnerComparisonExperiment<InputType,OutputType,StatisticType,SummaryType> A comparison experiment for supervised learners.
class	SupervisedLearnerValidationExperiment<InputType,OutputType,StatisticType,SummaryType> The SupervisedLearnerValidationExperiment class extends the LearnerValidationExperiment class to provide a easy way to create a learner validation experiment for supervised learning.

Methods in gov.sandia.cognition.learning.experiment with parameters of type LearningExperiment

Modifier and Type	Method and Description
void	LearningExperimentListener.experimentEnded(LearningExperiment experiment) Fired when the experiment has ended.
void	LearningExperimentListener.experimentStarted(LearningExperiment experiment) Fired when the experiment has started.
void	LearningExperimentListener.trialEnded(LearningExperiment experiment) Fired when a trial in the experiment has ended.
void	LearningExperimentListener.trialStarted(LearningExperiment experiment) Fired when a new trial in the experiment has started.