Uses of Interface
gov.sandia.cognition.learning.data.PartitionedDataset

Packages that use PartitionedDataset

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

Uses of PartitionedDataset in gov.sandia.cognition.learning.data

Classes in gov.sandia.cognition.learning.data that implement PartitionedDataset

Modifier and Type	Class and Description
class	DefaultPartitionedDataset<DataType> The PartitionedDataset class provides a simple container for the training and testing datasets to be held together.

Methods in gov.sandia.cognition.learning.data that return PartitionedDataset

Modifier and Type	Method and Description
PartitionedDataset<DataType>	DataPartitioner.createPartition(java.util.Collection<? extends DataType> data) Partitions the given collection of data into a training set and a testing set.
PartitionedDataset<DataType>	RandomDataPartitioner.createPartition(java.util.Collection<? extends DataType> data) Randomly partitions the given data into a training and testing set.
static <DataType> PartitionedDataset<DataType>	RandomDataPartitioner.createPartition(java.util.Collection<? extends DataType> data, double trainingPercent, java.util.Random random) Randomly partitions the given data into a training and testing set.

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

Methods in gov.sandia.cognition.learning.experiment that return types with arguments of type PartitionedDataset

Modifier and Type	Method and Description
java.util.List<PartitionedDataset<DataType>>	CrossFoldCreator.createFolds(java.util.Collection<? extends DataType> data) Creates the requested number of cross-validation folds from the given data.
java.util.List<PartitionedDataset<DataType>>	LeaveOneOutFoldCreator.createFolds(java.util.Collection<? extends DataType> data) Creates a list of folds that is the same size as the given data.
java.util.List<PartitionedDataset<DataType>>	RandomByTwoFoldCreator.createFolds(java.util.Collection<? extends DataType> data)
java.util.ArrayList<PartitionedDataset<DataType>>	RandomFoldCreator.createFolds(java.util.Collection<? extends DataType> data) Creates the folds from the given data by passing the data into the set data partitioner multiple times.
static <DataType> java.util.List<PartitionedDataset<DataType>>	CrossFoldCreator.createFolds(java.util.Collection<? extends DataType> data, int numFolds, java.util.Random random) Creates the requested number of cross-validation folds from the given data.
java.util.List<PartitionedDataset<FoldDataType>>	ValidationFoldCreator.createFolds(java.util.Collection<? extends InputDataType> data) Creates a list of partitioned (training and testing) datasets from the given single dataset.

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

Modifier and Type	Method and Description
SummaryType	LearnerRepeatExperiment.evaluatePerformance(BatchLearner<? super java.util.Collection<? extends InputDataType>,? extends LearnedType> learner, PartitionedDataset<? extends InputDataType> data) Performs the experiment.
protected void	LearnerRepeatExperiment.runExperiment(PartitionedDataset<? extends InputDataType> data) Runs the experiment.
protected void	LearnerRepeatExperiment.runTrial(PartitionedDataset<? extends InputDataType> data) Runs one trial in the experiment.
protected abstract void	AbstractValidationFoldExperiment.runTrial(PartitionedDataset<FoldDataType> fold) Runs a single trial of the experiment on one fold of the data.
protected void	LearnerComparisonExperiment.runTrial(PartitionedDataset<FoldDataType> fold) Runs a single trial of the experiment on one fold of the data.
protected void	LearnerValidationExperiment.runTrial(PartitionedDataset<FoldDataType> fold)

Method parameters in gov.sandia.cognition.learning.experiment with type arguments of type PartitionedDataset

Modifier and Type	Method and Description
protected void	AbstractValidationFoldExperiment.runExperiment(java.util.Collection<PartitionedDataset<FoldDataType>> folds) Runs the underlying validation fold experiment using the given data.
protected void	ParallelLearnerValidationExperiment.runExperiment(java.util.Collection<PartitionedDataset<FoldDataType>> folds)