Package gov.sandia.cognition.learning.algorithm

Provides general interfaces for learning algorithms.

See:
Description

Interface Summary

AnytimeBatchLearner<DataType,ResultType>	A batch learner that is also and Anytime algorithm.
BatchAndIncrementalLearner<DataType,ResultType>	Interface for an algorithm that is both a batch and incremental learner.
BatchCostMinimizationLearner<CostParametersType,ResultType>	The BatchCostMinimizationLearner interface defines the functionality of a cost-minimization learning algorithm should follow.
BatchLearner<DataType,ResultType>	The BatchLearner interface defines the general functionality of an object that is the implementation of a data-driven, batch machine learning algorithm.
BatchLearnerContainer<LearnerType extends BatchLearner<?,?>>	An interface for an object that contains a batch learner.
IncrementalLearner<DataType,ResultType>	The IncrementalLearner interface defines the general functionality of an object that is the implementation of a data-driven, incremental machine learning algorithm.
SupervisedBatchAndIncrementalLearner<InputType,OutputType,ResultType extends Evaluator<? super InputType,? extends OutputType>>	Interface for a class that is a supervised learning algorithm that can be used both batch and incremental contexts.
SupervisedBatchLearner<InputType,OutputType,ResultType extends Evaluator<? super InputType,? extends OutputType>>	The BatchSupervisedLearner interface is an extension of the BatchLearner interface that contains the typical generic definition conventions for a batch, supervised learning algorithm.
SupervisedIncrementalLearner<InputType,OutputType,ResultType extends Evaluator<? super InputType,? extends OutputType>>	Interface for supervised incremental learning algorithms.

Class Summary

AbstractAnytimeBatchLearner<DataType,ResultType>	The AbstractAnytimeBatchLearner abstract class implements a standard method for conforming to the BatchLearner and AnytimeLearner (IterativeAlgorithm and StoppableAlgorithm) interfaces.
AbstractAnytimeSupervisedBatchLearner<InputType,OutputType,ResultType extends Evaluator<? super InputType,? extends OutputType>>	The AbstractAnytimeSupervisedBatchLearner abstract class extends the AbstractAnytimeBatchLearner to implement the SupervisedBatchLearner interface.
AbstractBatchAndIncrementalLearner<DataType,ResultType>	An abstract class that has both batch learning ability as well as online learning ability by taking a Collection of input data.
AbstractBatchLearnerContainer<LearnerType extends BatchLearner<?,?>>	An abstract class for objects that contain a batch learning algorithm.
AbstractSupervisedBatchAndIncrementalLearner<InputType,OutputType,ResultType extends Evaluator<? super InputType,? extends OutputType>>	An abstract implementation of the batch and incremental learning for an incremental supervised learner.
SequencePredictionLearner<DataType,LearnedType>	A wrapper learner that converts an unlabeled sequence of data into a sequence of prediction data using a fixed prediction horizon.
TimeSeriesPredictionLearner<InputType,OutputType,EvaluatorType extends Evaluator<? super InputType,? extends OutputType>>	A learner used to predict the future of a sequence of data by wrapping another learner and created a future-aligned data set.

Package gov.sandia.cognition.learning.algorithm Description

Provides general interfaces for learning algorithms.

Since:

2.0