Uses of Interface
gov.sandia.cognition.collection.MultiCollection

Packages that use MultiCollection

Package	Description
gov.sandia.cognition.collection	Provides commonly useful collection implementations.
gov.sandia.cognition.learning.algorithm	Provides general interfaces for learning algorithms.
gov.sandia.cognition.learning.algorithm.hmm	Provides hidden Markov model (HMM) algorithms.
gov.sandia.cognition.learning.data	Provides data set utilities for learning.

Uses of MultiCollection in gov.sandia.cognition.collection

Classes in gov.sandia.cognition.collection that implement MultiCollection

Modifier and Type	Class and Description
class	DefaultMultiCollection<EntryType> The DefaultMultiCollection class implements a Collection that just contains a set of internal collections inside.
class	RangeExcludedArrayList<E> The RangeExcludedArrayList class implements a light-weight list on top of an ArrayList where a certain range of values is excluded from the list.

Uses of MultiCollection in gov.sandia.cognition.learning.algorithm

Methods in gov.sandia.cognition.learning.algorithm that return MultiCollection

Modifier and Type	Method and Description
static <DataType> MultiCollection<InputOutputPair<DataType,DataType>>	SequencePredictionLearner.createPredictionDataset(java.util.Collection<? extends DataType> data, int predictionHorizon) Takes a collection and creates a multi-collection of sequences of input-output pairs that are from the given sequence with the given prediction horizon.
static <DataType> MultiCollection<InputOutputPair<DataType,DataType>>	SequencePredictionLearner.createPredictionDataset(MultiCollection<? extends DataType> data, int predictionHorizon) Takes a multi-collection and creates a multi-collection of sequences of input-output pairs that are from the given sequence with the given prediction horizon.

Methods in gov.sandia.cognition.learning.algorithm with parameters of type MultiCollection

Modifier and Type	Method and Description
static <DataType> MultiCollection<InputOutputPair<DataType,DataType>>	SequencePredictionLearner.createPredictionDataset(MultiCollection<? extends DataType> data, int predictionHorizon) Takes a multi-collection and creates a multi-collection of sequences of input-output pairs that are from the given sequence with the given prediction horizon.
LearnedType	SequencePredictionLearner.learn(MultiCollection<? extends DataType> data) Converts the given multi-collection of data sequences to create sequences of input-output pairs to learn over.

Uses of MultiCollection in gov.sandia.cognition.learning.algorithm.hmm

Fields in gov.sandia.cognition.learning.algorithm.hmm declared as MultiCollection

Modifier and Type	Field and Description
protected MultiCollection<? extends ObservationType>	BaumWelchAlgorithm.multicollection The multi-collection of sequences

Methods in gov.sandia.cognition.learning.algorithm.hmm with parameters of type MultiCollection

Modifier and Type	Method and Description
HiddenMarkovModel<ObservationType>	BaumWelchAlgorithm.learn(MultiCollection<ObservationType> data) Allows the algorithm to learn against multiple sequences of data.

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

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

Modifier and Type	Method and Description
static <EntryType> MultiCollection<EntryType>	DatasetUtil.asMultiCollection(java.util.Collection<EntryType> collection) Takes a collection and returns a multi-collection version of that collection.