Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.ensemble |
Provides ensemble methods.
|
gov.sandia.cognition.learning.function.categorization |
Provides functions that output a discrete set of categories.
|
Modifier and Type | Class and Description |
---|---|
class |
VotingCategorizerEnsemble<InputType,CategoryType,MemberType extends Evaluator<? super InputType,? extends CategoryType>>
An ensemble of categorizers that determine the result based on an
equal-weight vote.
|
class |
WeightedVotingCategorizerEnsemble<InputType,CategoryType,MemberType extends Evaluator<? super InputType,? extends CategoryType>>
An ensemble of categorizers where each ensemble member is evaluated with the
given input to find the category to which its weighted votes are assigned.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractDiscriminantCategorizer<InputType,CategoryType,DiscriminantType extends java.lang.Comparable<? super DiscriminantType>>
An abstract implementation of the
DiscriminantCategorizer interface. |
class |
BinaryVersusCategorizer<InputType,CategoryType>
An adapter that allows binary categorizers to be adapted for multi-category
problems by applying a binary categorizer to each pair of categories.
|
class |
EvaluatorToCategorizerAdapter<InputType,CategoryType>
The
EvaluatorToCategorizerAdapter class implements an adapter from a
general Evaluator to be a Categorizer . |
class |
WinnerTakeAllCategorizer<InputType,CategoryType>
Adapts an evaluator that outputs a vector to be used as a categorizer.
|
Modifier and Type | Method and Description |
---|---|
AbstractCategorizer<InputType,CategoryType> |
AbstractCategorizer.clone() |