Uses of Class
gov.sandia.cognition.util.DefaultPair

Packages that use DefaultPair
gov.sandia.cognition.evaluator Provides interfaces and classes to do with the Evaluator interface. 
gov.sandia.cognition.learning.algorithm.regression Provides regression algorithms, such as Linear Regression. 
gov.sandia.cognition.learning.algorithm.tree Provides decision tree learning algorithms. 
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. 
gov.sandia.cognition.learning.function.cost Provides cost functions. 
gov.sandia.cognition.math.signals Provides mathematical signal processing methods. 
gov.sandia.cognition.util Provides general utility classes. 
 

Uses of DefaultPair in gov.sandia.cognition.evaluator
 

Subclasses of DefaultPair in gov.sandia.cognition.evaluator
 class CompositeEvaluatorPair<InputType,IntermediateType,OutputType>
          Implements a composition of two evaluators.
 

Uses of DefaultPair in gov.sandia.cognition.learning.algorithm.regression
 

Subclasses of DefaultPair in gov.sandia.cognition.learning.algorithm.regression
static class LogisticRegression.Function
          Class that is a linear discriminant, followed by a sigmoid function.
 

Uses of DefaultPair in gov.sandia.cognition.learning.algorithm.tree
 

Methods in gov.sandia.cognition.learning.algorithm.tree that return DefaultPair
 DefaultPair<Double,Double> AbstractVectorThresholdMaximumGainLearner.computeBestGainAndThreshold(Collection<? extends InputOutputPair<? extends Vectorizable,OutputType>> data, int dimension, DefaultDataDistribution<OutputType> baseCounts)
          Computes the best gain and threshold for a given dimension using the computeSplitGain method for each potential split point of values for the given dimension.
protected  DefaultPair<Double,Double> AbstractVectorThresholdMaximumGainLearner.computeBestGainAndThreshold(Collection<? extends InputOutputPair<? extends Vectorizable,OutputType>> data, int dimension, DefaultDataDistribution<OutputType> baseCounts, ArrayList<DefaultWeightedValue<OutputType>> values)
          Computes the best gain and threshold for a given dimension using the computeSplitGain method for each potential split point of values for the given dimension.
 DefaultPair<Double,Double> VectorThresholdVarianceLearner.computeBestGainThreshold(Collection<? extends InputOutputPair<? extends Vectorizable,Double>> data, int dimension, double baseVariance)
          Computes the best information gain-threshold pair for the given dimension on the given data.
 

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

Methods in gov.sandia.cognition.learning.data that return DefaultPair
static
<DataType> DefaultPair<LinkedList<DataType>,LinkedList<DataType>>
DatasetUtil.splitDatasets(Collection<? extends InputOutputPair<? extends DataType,Boolean>> data)
          Splits a dataset of input-output pair into two datasets, one for the inputs that have a "true" output and another for the inputs that have a "false" output
 

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

Fields in gov.sandia.cognition.learning.experiment declared as DefaultPair
protected  DefaultPair<ArrayList<StatisticType>,ArrayList<StatisticType>> LearnerComparisonExperiment.statistics
          The performance evaluations made during the experiment.
protected  DefaultPair<SummaryType,SummaryType> LearnerComparisonExperiment.summaries
          The summaries of performance.
 

Methods in gov.sandia.cognition.learning.experiment that return DefaultPair
 DefaultPair<ArrayList<StatisticType>,ArrayList<StatisticType>> LearnerComparisonExperiment.getStatistics()
          Gets the performance evaluations for the trials of the experiment.
 DefaultPair<SummaryType,SummaryType> LearnerComparisonExperiment.getSummaries()
          Gets the summaries of the experiment.
 DefaultPair<SummaryType,SummaryType> LearnerComparisonExperiment.Result.getSummaries()
          Gets the summary of performance for the learners.
 

Methods in gov.sandia.cognition.learning.experiment with parameters of type DefaultPair
protected  void LearnerComparisonExperiment.setStatistics(DefaultPair<ArrayList<StatisticType>,ArrayList<StatisticType>> statistics)
          Sets the performance evaluations for the trials of the experiment.
protected  void LearnerComparisonExperiment.setSummaries(DefaultPair<SummaryType,SummaryType> summaries)
          Sets the summaries of the experiment.
 void LearnerComparisonExperiment.Result.setSummaries(DefaultPair<SummaryType,SummaryType> summaries)
          Sets the summary of performance for the learners.
 

Constructors in gov.sandia.cognition.learning.experiment with parameters of type DefaultPair
LearnerComparisonExperiment.Result(ConfidenceStatistic confidence, DefaultPair<SummaryType,SummaryType> summaries)
          Creates a new instance of Result.
 

Uses of DefaultPair in gov.sandia.cognition.learning.function.cost
 

Subclasses of DefaultPair in gov.sandia.cognition.learning.function.cost
static class SumSquaredErrorCostFunction.GradientPartialSSE
          Partial result from the SSE gradient computation
 

Uses of DefaultPair in gov.sandia.cognition.math.signals
 

Methods in gov.sandia.cognition.math.signals that return DefaultPair
 DefaultPair<FiniteCapacityBuffer<Double>,FiniteCapacityBuffer<Double>> AutoRegressiveMovingAverageFilter.createDefaultState()
           
 

Uses of DefaultPair in gov.sandia.cognition.util
 

Subclasses of DefaultPair in gov.sandia.cognition.util
 class DefaultWeightedPair<FirstType,SecondType>
          The DefaultWeightedPair class extends the DefaultPair class to add a weight to the pair.
 

Methods in gov.sandia.cognition.util that return DefaultPair
 DefaultPair<FirstType,SecondType> DefaultPair.clone()
           
static
<FirstType,SecondType>
DefaultPair<FirstType,SecondType>
DefaultPair.create()
          Creates a new, empty DefaultPair with both values being null.
static
<FirstType,SecondType>
DefaultPair<FirstType,SecondType>
DefaultPair.create(FirstType first, SecondType second)
          Creates a new DefaultPair from the given values.
 

Methods in gov.sandia.cognition.util that return types with arguments of type DefaultPair
static ArrayList<DefaultPair<Field,Object>> ObjectUtil.getAllFieldValues(Object o)
          Returns an ArrayList of field/value pairs
static
<FirstType,SecondType>
ArrayList<DefaultPair<FirstType,SecondType>>
DefaultPair.mergeCollections(Collection<FirstType> firsts, Collection<SecondType> seconds)
          Takes two collections of data of the same size and creates a new single ArrayList<DefaultPair> out of their elements.