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java.lang.Objectcom.rapidminer.tools.AbstractObservable<Operator>
com.rapidminer.operator.Operator
com.rapidminer.operator.OperatorChain
com.rapidminer.operator.learner.meta.AbstractMetaLearner
com.rapidminer.operator.learner.meta.Bagging
public class Bagging
This Bagging implementation can be used with all learners available in RapidMiner, not only the ones which originally are part of the Weka package.
| Field Summary | |
|---|---|
protected int |
currentIteration
|
static java.lang.String |
PARAMETER_AVERAGE_CONFIDENCES
Name of the flag indicating internal bootstrapping. |
static java.lang.String |
PARAMETER_ITERATIONS
Name of the variable specifying the maximal number of iterations of the learner. |
static java.lang.String |
PARAMETER_SAMPLE_RATIO
Name of the flag indicating internal bootstrapping. |
| Fields inherited from class com.rapidminer.operator.learner.meta.AbstractMetaLearner |
|---|
exampleSetInput, innerModelSink |
| Fields inherited from interface com.rapidminer.operator.learner.CapabilityProvider |
|---|
PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN |
| Constructor Summary | |
|---|---|
Bagging(OperatorDescription description)
Constructor. |
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| Method Summary | |
|---|---|
java.util.List<ParameterType> |
getParameterTypes()
Returns a list of ParameterTypes describing the parameters of this operator. |
Model |
learn(ExampleSet exampleSet)
Constructs a Model by repeatedly running a base learner on subsamples. |
boolean |
supportsCapability(OperatorCapability capability)
Checks for Learner capabilities. |
| Methods inherited from class com.rapidminer.operator.learner.meta.AbstractMetaLearner |
|---|
applyInnerLearner, doWork, executeInnerLearner, getEstimatedPerformance, getInnerModelSink, getModelOutputPort, getTrainingSetInputPort, getWeights, modifyExampleSetMetaData, modifyGeneratedModelMetaData, shouldAutoConnect, shouldCalculateWeights, shouldEstimatePerformance |
| Methods inherited from class com.rapidminer.tools.AbstractObservable |
|---|
addObserver, addObserverAsFirst, fireUpdate, removeObserver |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface com.rapidminer.operator.learner.Learner |
|---|
getName |
| Field Detail |
|---|
public static final java.lang.String PARAMETER_ITERATIONS
public static final java.lang.String PARAMETER_SAMPLE_RATIO
public static final java.lang.String PARAMETER_AVERAGE_CONFIDENCES
protected int currentIteration
| Constructor Detail |
|---|
public Bagging(OperatorDescription description)
| Method Detail |
|---|
public Model learn(ExampleSet exampleSet)
throws OperatorException
Model by repeatedly running a base learner on subsamples.
OperatorExceptionpublic java.util.List<ParameterType> getParameterTypes()
Operator
getParameterTypes in interface ParameterHandlergetParameterTypes in class Operatorpublic boolean supportsCapability(OperatorCapability capability)
CapabilityProvider
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