Uses of Interface
gov.sandia.cognition.evaluator.ReversibleEvaluator

Packages that use ReversibleEvaluator

Package	Description
gov.sandia.cognition.data.convert	Provides utilities for doing data type conversion.
gov.sandia.cognition.data.convert.number	Provides utilities for doing data type conversion with numbers.
gov.sandia.cognition.evaluator	Provides interfaces and classes to do with the Evaluator interface.
gov.sandia.cognition.learning.algorithm	Provides general interfaces for learning algorithms.

Uses of ReversibleEvaluator in gov.sandia.cognition.data.convert

Subinterfaces of ReversibleEvaluator in gov.sandia.cognition.data.convert

Modifier and Type	Interface and Description
interface	ReversibleDataConverter<InputType,OutputType> Represents a DataConverter whose conversion can be reversed.

Classes in gov.sandia.cognition.data.convert that implement ReversibleEvaluator

Modifier and Type	Class and Description
class	AbstractReverseCachedDataConverter<InputType,OutputType,ReverseConverterType extends DataConverter<? super OutputType,? extends InputType>> Abstract implementation of ReversibleDataConverter that caches the reverse converter.
class	AbstractReversibleDataConverter<InputType,OutputType> Abstract implementation of sthe ReversibleDataConverter interface.
class	IdentityDataConverter<DataType> A pass-through converter that just returns the given value.

Uses of ReversibleEvaluator in gov.sandia.cognition.data.convert.number

Classes in gov.sandia.cognition.data.convert.number that implement ReversibleEvaluator

Modifier and Type	Class and Description
class	DefaultBooleanToNumberConverter Converts a Boolean to a Number by using predefined values for true, false, and (optionally) null.
class	DefaultBooleanToNumberConverter.Reverse The reverse converter for the DefaultBooleanToNumberConverter.
class	StringToDoubleConverter Converts a String to a Double using the Double.valueOf method.
class	StringToIntegerConverter Converts a String to a Integer using the Integer.valueOf method.

Uses of ReversibleEvaluator in gov.sandia.cognition.evaluator

Classes in gov.sandia.cognition.evaluator that implement ReversibleEvaluator

Modifier and Type	Class and Description
class	ForwardReverseEvaluatorPair<InputType,OutputType,ForwardType extends Evaluator<? super InputType,? extends OutputType>,ReverseType extends Evaluator<? super OutputType,? extends InputType>> Represents a both a (normal) forward evaluator and its reverse as a pair.
class	IdentityEvaluator<DataType> An identity function that returns its input as its output.

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

Fields in gov.sandia.cognition.learning.algorithm with type parameters of type ReversibleEvaluator

Modifier and Type	Field and Description
protected BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>>	InputOutputTransformedBatchLearner.outputLearner The unsupervised learning algorithm for creating the output transformation, which must be reversible for evaluation.

Methods in gov.sandia.cognition.learning.algorithm that return types with arguments of type ReversibleEvaluator

Modifier and Type	Method and Description
BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>>	InputOutputTransformedBatchLearner.getOutputLearner() Gets the unsupervised learning algorithm for creating the output transformation, which must be reversible for evaluation.

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

Modifier and Type	Method and Description
static <InputType,TransformedInputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,TransformedInputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.create(BatchLearner<? super java.util.Collection<? extends InputType>,? extends Evaluator<? super InputType,? extends TransformedInputType>> inputLearner, BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends TransformedInputType,TransformedOutputType>>,? extends Evaluator<? super TransformedInputType,? extends TransformedOutputType>> learner, ReversibleEvaluator<OutputType,TransformedOutputType,?> outputTransform) Creates a new InputOutputTransformedBatchLearner from the unsupervised input transform learner, supervised learners, and output transform.
static <InputType,TransformedInputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,TransformedInputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.create(Evaluator<? super InputType,? extends TransformedInputType> inputTransform, BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends TransformedInputType,TransformedOutputType>>,? extends Evaluator<? super TransformedInputType,? extends TransformedOutputType>> learner, ReversibleEvaluator<OutputType,TransformedOutputType,?> outputTransform) Creates a new InputOutputTransformedBatchLearner from the predefined input and output transforms and the supervised learner.
static <InputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,InputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.createOutputTransformed(BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,TransformedOutputType>>,? extends Evaluator<? super InputType,? extends TransformedOutputType>> learner, ReversibleEvaluator<OutputType,TransformedOutputType,?> outputTransform) Creates a new InputOutputTransformedBatchLearner from the predefined output transforms and the supervised learner.

Method parameters in gov.sandia.cognition.learning.algorithm with type arguments of type ReversibleEvaluator

Modifier and Type	Method and Description
static <InputType,TransformedInputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,TransformedInputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.create(BatchLearner<? super java.util.Collection<? extends InputType>,? extends Evaluator<? super InputType,? extends TransformedInputType>> inputLearner, BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends TransformedInputType,TransformedOutputType>>,? extends Evaluator<? super TransformedInputType,? extends TransformedOutputType>> learner, BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>> outputLearner) Creates a new InputOutputTransformedBatchLearner from the three learners.
static <InputType,TransformedInputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,TransformedInputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.create(Evaluator<? super InputType,? extends TransformedInputType> inputTransform, BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends TransformedInputType,TransformedOutputType>>,? extends Evaluator<? super TransformedInputType,? extends TransformedOutputType>> learner, BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>> outputLearner) Creates a new InputOutputTransformedBatchLearner from the input transform, supervised learner, and unsupervised output transform learner.
static <InputType,TransformedOutputType,OutputType> InputOutputTransformedBatchLearner<InputType,InputType,TransformedOutputType,OutputType>	InputOutputTransformedBatchLearner.createOutputTransformed(BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,TransformedOutputType>>,? extends Evaluator<? super InputType,? extends TransformedOutputType>> learner, BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>> outputLearner) Creates a new InputOutputTransformedBatchLearner from the supervised and output learners, performing no transformation on the input type.
void	InputOutputTransformedBatchLearner.setOutputLearner(BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>> outputLearner) Gets the unsupervised learning algorithm for creating the output transformation, which must be reversible for evaluation.

Constructor parameters in gov.sandia.cognition.learning.algorithm with type arguments of type ReversibleEvaluator

Constructor and Description

InputOutputTransformedBatchLearner(BatchLearner<? super java.util.Collection<? extends InputType>,? extends Evaluator<? super InputType,? extends TransformedInputType>> inputLearner, BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends TransformedInputType,TransformedOutputType>>,? extends Evaluator<? super TransformedInputType,? extends TransformedOutputType>> learner, BatchLearner<? super java.util.Collection<? extends OutputType>,? extends ReversibleEvaluator<OutputType,TransformedOutputType,?>> outputLearner) Creates a new InputOutputTransformedBatchLearner with the given learners.