Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm |
Provides general interfaces for 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.parameter |
Provides utility classes for handling learning algorithm parameters.
|
Modifier and Type | Class and Description |
---|---|
class |
InputOutputTransformedBatchLearner<InputType,TransformedInputType,TransformedOutputType,OutputType>
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.
|
class |
SequencePredictionLearner<DataType,LearnedType>
A wrapper learner that converts an unlabeled sequence of data into a sequence
of prediction data using a fixed prediction horizon.
|
Modifier and Type | Method and Description |
---|---|
AbstractBatchLearnerContainer<LearnerType> |
AbstractBatchLearnerContainer.clone() |
Modifier and Type | Class and Description |
---|---|
static class |
BinaryVersusCategorizer.Learner<InputType,CategoryType>
A learner for the
BinaryVersusCategorizer . |
static class |
EvaluatorToCategorizerAdapter.Learner<InputType,CategoryType>
The
EvaluatorToCategorizerAdapter.Learner class implements a
simple supervised learner for a EvaluatorToCategorizerAdapter . |
static class |
WinnerTakeAllCategorizer.Learner<InputType,CategoryType>
A learner for the adapter.
|
Modifier and Type | Class and Description |
---|---|
static class |
DivergencesEvaluator.Learner<DataType,InputType,ValueType>
A learner adapter for the
DivergencesEvaluator . |
Modifier and Type | Class and Description |
---|---|
class |
ParameterAdaptableBatchLearnerWrapper<DataType,ResultType,LearnerType extends BatchLearner<? super DataType,? extends ResultType>>
A wrapper for adding parameter adapters to a batch learner.
|