gov.sandia.cognition.learning.algorithm.ensemble

Interface BagBasedCategorizerEnsembleLearner<InputType,CategoryType>

Type Parameters:

InputType - The type of the input for the categorizer to learn.

CategoryType - The type of the category that is the output for the categorizer to learn.

All Superinterfaces:

AnytimeAlgorithm<WeightedVotingCategorizerEnsemble<InputType,CategoryType,Evaluator<? super InputType,? extends CategoryType>>>, AnytimeBatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,WeightedVotingCategorizerEnsemble<InputType,CategoryType,Evaluator<? super InputType,? extends CategoryType>>>, BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,WeightedVotingCategorizerEnsemble<InputType,CategoryType,Evaluator<? super InputType,? extends CategoryType>>>, java.lang.Cloneable, CloneableSerializable, IterativeAlgorithm, java.io.Serializable, StoppableAlgorithm

All Known Implementing Classes:

BaggingCategorizerLearner, CategoryBalancedBaggingLearner, CategoryBalancedIVotingLearner, IVotingCategorizerLearner

public interface BagBasedCategorizerEnsembleLearner<InputType,CategoryType>
extends AnytimeBatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,WeightedVotingCategorizerEnsemble<InputType,CategoryType,Evaluator<? super InputType,? extends CategoryType>>>

Interface for a bag-based ensemble learner. Primarily used in conjunction with out-of-bag stopping criteria.

Since:

4.0.0

Author:

Justin Basilico

Method Summary

Modifier and Type	Method and Description
int[]	getDataInBag() Gets the counter for each example indicating how many times it exists in the current bag.
InputOutputPair<? extends InputType,CategoryType>	getExample(int index) Gets the training example at the given index.

Methods inherited from interface gov.sandia.cognition.learning.algorithm.AnytimeBatchLearner

getData, getKeepGoing

Methods inherited from interface gov.sandia.cognition.algorithm.AnytimeAlgorithm

getMaxIterations, getResult, setMaxIterations

Methods inherited from interface gov.sandia.cognition.algorithm.IterativeAlgorithm

addIterativeAlgorithmListener, getIteration, removeIterativeAlgorithmListener

Methods inherited from interface gov.sandia.cognition.algorithm.StoppableAlgorithm

isResultValid, stop

Methods inherited from interface gov.sandia.cognition.learning.algorithm.BatchLearner

learn

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

getExample

InputOutputPair<? extends InputType,CategoryType> getExample(int index)

Gets the training example at the given index.

Parameters:

index - The 0-based index to lookup.

Returns:

The training example at that index.

getDataInBag

int[] getDataInBag()

Gets the counter for each example indicating how many times it exists in the current bag.

Returns:

The counter per example of how many times it is in the current bag. Note that this may be an internal state array for the algorithm so it shouldn't be modified. It is provided for efficient access.