| Package | Description |
|---|---|
| gov.sandia.cognition.framework.learning |
Provides a mechanism for putting learned objects into the Cognitive
Framework.
|
| gov.sandia.cognition.learning.algorithm |
Provides general interfaces for learning algorithms.
|
| gov.sandia.cognition.learning.algorithm.annealing |
Provides the Simulated Annealing algorithm.
|
| gov.sandia.cognition.learning.algorithm.baseline |
Provides baseline (dummy) learning algorithms.
|
| gov.sandia.cognition.learning.algorithm.bayes |
Provides algorithms for computing Bayesian categorizers.
|
| gov.sandia.cognition.learning.algorithm.clustering |
Provides clustering algorithms.
|
| gov.sandia.cognition.learning.algorithm.confidence |
Provides confidence-weighted categorization algorithms.
|
| gov.sandia.cognition.learning.algorithm.delta |
Provides an abstract class for helping to implement variants of the Burrows'
Delta algorithm.
|
| gov.sandia.cognition.learning.algorithm.ensemble |
Provides ensemble methods.
|
| gov.sandia.cognition.learning.algorithm.factor.machine |
Provides factorization machine algorithms.
|
| gov.sandia.cognition.learning.algorithm.genetic |
Provides a genetic algorithm implementation.
|
| gov.sandia.cognition.learning.algorithm.hmm |
Provides hidden Markov model (HMM) algorithms.
|
| gov.sandia.cognition.learning.algorithm.minimization |
Provides minimization algorithms.
|
| gov.sandia.cognition.learning.algorithm.minimization.line |
Provides line (scalar) minimization algorithms.
|
| gov.sandia.cognition.learning.algorithm.minimization.matrix |
Provides matrix solving algorithms.
|
| gov.sandia.cognition.learning.algorithm.nearest |
Provides algorithms for Nearest-Neighbor memory-based functions.
|
| gov.sandia.cognition.learning.algorithm.pca |
Provides implementations of Principle Components Analysis (PCA).
|
| gov.sandia.cognition.learning.algorithm.perceptron |
Provides the Perceptron algorithm and some of its variations.
|
| gov.sandia.cognition.learning.algorithm.perceptron.kernel | |
| gov.sandia.cognition.learning.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
| gov.sandia.cognition.learning.algorithm.root |
Provides algorithms for finding the roots, or zero crossings, of scalar functions.
|
| gov.sandia.cognition.learning.algorithm.svm |
Provides implementations of Support Vector Machine (SVM) learning algorithms.
|
| gov.sandia.cognition.learning.algorithm.tree |
Provides decision tree learning algorithms.
|
| gov.sandia.cognition.learning.data.feature |
Provides data feature extractors.
|
| gov.sandia.cognition.learning.experiment |
Provides experiments for validating the performance of learning algorithms.
|
| gov.sandia.cognition.learning.function.categorization |
Provides functions that output a discrete set of categories.
|
| gov.sandia.cognition.learning.function.distance |
Provides distance functions.
|
| gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
| gov.sandia.cognition.learning.function.vector |
Provides functions that output vectors.
|
| gov.sandia.cognition.learning.parameter |
Provides utility classes for handling learning algorithm parameters.
|
| gov.sandia.cognition.statistics |
Provides the inheritance hierarchy for general statistical methods and distributions.
|
| gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
|
| gov.sandia.cognition.statistics.bayesian.conjugate |
Provides Bayesian estimation routines based on conjugate prior distribution
of parameters of specific conditional distributions.
|
| gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
| gov.sandia.cognition.statistics.method |
Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
|
| gov.sandia.cognition.text.spelling |
Provides classes for spelling.
|
| gov.sandia.cognition.text.topic |
Provides topic modeling algorithms.
|
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AbstractBatchLearnerContainer
An abstract class for objects that contain a batch learning algorithm.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| BatchLearnerContainer
An interface for an object that contains a batch learner.
|
| CompositeBatchLearnerPair
Composes together a pair of batch (typically unsupervised) learners.
|
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| InputOutputTransformedBatchLearner
An adapter class for performing supervised learning from data where both
the input and output have to be transformed before they are passed to the
learning algorithm.
|
| SupervisedBatchAndIncrementalLearner
Interface for a class that is a supervised learning algorithm that can be
used both batch and incremental contexts.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| SupervisedIncrementalLearner
Interface for supervised incremental learning algorithms.
|
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchCostMinimizationLearner
The
BatchCostMinimizationLearner interface defines the functionality
of a cost-minimization learning algorithm should follow. |
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AbstractSupervisedBatchAndIncrementalLearner
An abstract implementation of the batch and incremental learning for
an incremental supervised learner.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| SupervisedBatchAndIncrementalLearner
Interface for a class that is a supervised learning algorithm that can be
used both batch and incremental contexts.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| SupervisedIncrementalLearner
Interface for supervised incremental learning algorithms.
|
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AbstractSupervisedBatchAndIncrementalLearner
An abstract implementation of the batch and incremental learning for
an incremental supervised learner.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| BatchLearnerContainer
An interface for an object that contains a batch learner.
|
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| SupervisedBatchAndIncrementalLearner
Interface for a class that is a supervised learning algorithm that can be
used both batch and incremental contexts.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| SupervisedIncrementalLearner
Interface for supervised incremental learning algorithms.
|
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchCostMinimizationLearner
The
BatchCostMinimizationLearner interface defines the functionality
of a cost-minimization learning algorithm should follow. |
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AbstractSupervisedBatchAndIncrementalLearner
An abstract implementation of the batch and incremental learning for
an incremental supervised learner.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| SupervisedBatchAndIncrementalLearner
Interface for a class that is a supervised learning algorithm that can be
used both batch and incremental contexts.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| SupervisedIncrementalLearner
Interface for supervised incremental learning algorithms.
|
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AbstractSupervisedBatchAndIncrementalLearner
An abstract implementation of the batch and incremental learning for
an incremental supervised learner.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| SupervisedBatchAndIncrementalLearner
Interface for a class that is a supervised learning algorithm that can be
used both batch and incremental contexts.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| SupervisedIncrementalLearner
Interface for supervised incremental learning algorithms.
|
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchCostMinimizationLearner
The
BatchCostMinimizationLearner interface defines the functionality
of a cost-minimization learning algorithm should follow. |
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractAnytimeSupervisedBatchLearner
The
AbstractAnytimeSupervisedBatchLearner abstract class extends
the AbstractAnytimeBatchLearner to implement the
SupervisedBatchLearner interface. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| DimensionFilterableLearner
Interface for a learner that can be filtered by which dimensions it
includes in learning.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| AbstractBatchLearnerContainer
An abstract class for objects that contain a batch learning algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| BatchLearnerContainer
An interface for an object that contains a batch learner.
|
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AbstractBatchLearnerContainer
An abstract class for objects that contain a batch learning algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| BatchLearnerContainer
An interface for an object that contains a batch learner.
|
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| SupervisedBatchLearner
The
BatchSupervisedLearner interface is an extension of the
BatchLearner interface that contains the typical generic definition
conventions for a batch, supervised learning algorithm. |
| Class and Description |
|---|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractBatchLearnerContainer
An abstract class for objects that contain a batch learning algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| BatchLearnerContainer
An interface for an object that contains a batch learner.
|
| Class and Description |
|---|
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| Class and Description |
|---|
| AbstractBatchAndIncrementalLearner
An abstract class that has both batch learning ability as well as online
learning ability by taking a Collection of input data.
|
| BatchAndIncrementalLearner
Interface for an algorithm that is both a batch and incremental learner.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |
| IncrementalLearner
The
IncrementalLearner interface defines the general functionality
of an object that is the implementation of a data-driven, incremental machine
learning algorithm. |
| Class and Description |
|---|
| AbstractAnytimeBatchLearner
The
AbstractAnytimeBatchLearner abstract class
implements a standard method for conforming to the BatchLearner and
AnytimeLearner (IterativeAlgorithm and
StoppableAlgorithm) interfaces. |
| AnytimeBatchLearner
A batch learner that is also and Anytime algorithm.
|
| BatchLearner
The
BatchLearner interface defines the general functionality
of an object that is the implementation of a data-driven, batch machine
learning algorithm. |