Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.delta |
Provides an abstract class for helping to implement variants of the Burrows'
Delta algorithm.
|
gov.sandia.cognition.learning.data |
Provides data set utilities for learning.
|
gov.sandia.cognition.learning.function.categorization |
Provides functions that output a discrete set of categories.
|
Modifier and Type | Method and Description |
---|---|
abstract ValueDiscriminantPair<CategoryType,java.lang.Double> |
AbstractDeltaCategorizer.evaluateWithDiscriminant(Vector unknownInput)
This abstract method should implement evaluation aspect of this general
algorithm.
|
ValueDiscriminantPair<CategoryType,java.lang.Double> |
BurrowsDeltaCategorizer.evaluateWithDiscriminant(Vector unknownVector)
This method implements the evaluation aspect of BurrowsDelta.
|
ValueDiscriminantPair<CategoryType,java.lang.Double> |
CosineDeltaCategorizer.evaluateWithDiscriminant(Vector unknownVector)
This method implements the evaluation aspect of CosineDelta.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractValueDiscriminantPair<ValueType,DiscriminantType extends java.lang.Comparable<? super DiscriminantType>>
An abstract implementation of the
ValueDiscriminantPair interface. |
class |
DefaultValueDiscriminantPair<ValueType,DiscriminantType extends java.lang.Comparable<? super DiscriminantType>>
A default implementation of the
ValueDiscriminantPair interface. |
class |
DefaultWeightedValueDiscriminant<ValueType>
An implementation of
ValueDiscriminantPair that stores a double
as the discriminant. |
Modifier and Type | Method and Description |
---|---|
ValueDiscriminantPair<java.lang.Boolean,java.lang.Double> |
AbstractDiscriminantBinaryCategorizer.evaluateWithDiscriminant(InputType input) |
ValueDiscriminantPair<CategoryType,DiscriminantType> |
DiscriminantCategorizer.evaluateWithDiscriminant(InputType input)
Evaluate the categorizer on the given input to produce the expected
category plus a discriminant for later producing an ordering of how well
items fit into that category.
|