Package | Description |
---|---|
gov.sandia.cognition.learning.algorithm.ensemble |
Provides ensemble methods.
|
gov.sandia.cognition.learning.algorithm.perceptron |
Provides the Perceptron algorithm and some of its variations.
|
Modifier and Type | Field and Description |
---|---|
protected WeightedBinaryEnsemble<InputType,Evaluator<? super InputType,? extends java.lang.Boolean>> |
AdaBoost.ensemble
The ensemble learned by the algorithm.
|
Modifier and Type | Method and Description |
---|---|
protected WeightedBinaryEnsemble<InputType,Evaluator<? super InputType,? extends java.lang.Boolean>> |
BinaryBaggingLearner.createInitialEnsemble() |
WeightedBinaryEnsemble<InputType,Evaluator<? super InputType,? extends java.lang.Boolean>> |
AdaBoost.getEnsemble()
Gets the ensemble created by this learner.
|
WeightedBinaryEnsemble<InputType,Evaluator<? super InputType,? extends java.lang.Boolean>> |
AdaBoost.getResult() |
Modifier and Type | Method and Description |
---|---|
protected void |
AdaBoost.setEnsemble(WeightedBinaryEnsemble<InputType,Evaluator<? super InputType,? extends java.lang.Boolean>> ensemble)
Sets the ensemble created by this learner.
|
Modifier and Type | Method and Description |
---|---|
WeightedBinaryEnsemble<Vectorizable,LinearBinaryCategorizer> |
OnlineVotedPerceptron.createInitialLearnedObject() |
Modifier and Type | Method and Description |
---|---|
static DefaultWeightedValue<LinearBinaryCategorizer> |
OnlineVotedPerceptron.getLastMember(WeightedBinaryEnsemble<Vectorizable,LinearBinaryCategorizer> ensemble)
Gets the last member in the ensemble.
|
void |
OnlineVotedPerceptron.update(WeightedBinaryEnsemble<Vectorizable,LinearBinaryCategorizer> target,
Vector input,
boolean actual)
The
update method updates an object of ResultType using
the given a new supervised input-output pair, using some form of
"learning" algorithm. |
void |
OnlineVotedPerceptron.update(WeightedBinaryEnsemble<Vectorizable,LinearBinaryCategorizer> target,
Vectorizable input,
java.lang.Boolean output) |