Package | Description |
---|---|
gov.sandia.cognition.framework.learning.converter |
Provides implementations of
CogxelConverter s. |
gov.sandia.cognition.learning.algorithm.minimization.line |
Provides line (scalar) minimization algorithms.
|
gov.sandia.cognition.learning.data |
Provides data set utilities for learning.
|
Modifier and Type | Method and Description |
---|---|
WeightedInputOutputPair<InputType,OutputType> |
CogxelWeightedInputOutputPairConverter.fromCogxels(CogxelState cogxels)
Converts from a CogxelState object to an object of type DataType.
|
Modifier and Type | Method and Description |
---|---|
void |
CogxelWeightedInputOutputPairConverter.toCogxels(WeightedInputOutputPair<InputType,OutputType> data,
CogxelState cogxels)
Converts from an object of type DataType to an updated CogxelState.
|
Modifier and Type | Method and Description |
---|---|
WeightedInputOutputPair<Vector,java.lang.Double> |
AbstractAnytimeLineMinimizer.minimizeAlongDirection(DirectionalVectorToScalarFunction function,
java.lang.Double functionValue,
Vector gradient) |
WeightedInputOutputPair<Vector,java.lang.Double> |
LineMinimizer.minimizeAlongDirection(DirectionalVectorToScalarFunction function,
java.lang.Double functionValue,
Vector gradient)
Minimizes a Vector function along the direction given by the
DirectionalVectorToScalarFunction.
|
Modifier and Type | Class and Description |
---|---|
class |
DefaultWeightedInputOutputPair<InputType,OutputType>
A default implementation of the
WeightedInputOutputPair interface. |
Constructor and Description |
---|
DefaultWeightedInputOutputPair(WeightedInputOutputPair<? extends InputType,? extends OutputType> other)
Creates a new
DefaultWeightedInputOutputPair that is a shallow
copy of the given WeightedInputOuptutPair . |