com.rapidminer.operator.preprocessing.sampling
Class AbsoluteStratifiedSampling

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.AbstractExampleSetProcessing
          com.rapidminer.operator.preprocessing.AbstractDataProcessing
              com.rapidminer.operator.preprocessing.sampling.AbstractSamplingOperator
                  com.rapidminer.operator.preprocessing.sampling.AbstractStratifiedSampling
                      com.rapidminer.operator.preprocessing.sampling.AbsoluteStratifiedSampling

All Implemented Interfaces:

ConfigurationListener, PreviewListener, ParameterHandler, LoggingHandler

public class AbsoluteStratifiedSampling
extends AbstractStratifiedSampling

Stratified sampling operator. This operator performs a random sampling of a given size. In contrast to the simple sampling operator, this operator performs a stratified sampling for data sets with nominal label attributes, i.e. the class distributions remains (almost) the same after sampling. Hence, this operator cannot be applied on data sets without a label or with a numerical label. In these cases a simple sampling without stratification is performed. In some cases it might happen that not the exact desired number of examples is sampled, e.g. if the desired number is 100 from three qually distributed classes the resulting number will be 99 (33 of each class).

Author:

Sebastian Land

Field Summary

static java.lang.String

PARAMETER_SAMPLE_SIZE The parameter name for "The fraction of examples which should be sampled"

Fields inherited from class com.rapidminer.operator.preprocessing.sampling.AbstractStratifiedSampling

PARAMETER_LOCAL_RANDOM_SEED

Constructor Summary

AbsoluteStratifiedSampling(OperatorDescription description)

Method Summary

java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
double	getRatio(ExampleSet exampleSet) This method should return the ratio used for stratifiedSampling

Methods inherited from class com.rapidminer.operator.preprocessing.sampling.AbstractStratifiedSampling

apply

Methods inherited from class com.rapidminer.operator.AbstractExampleSetProcessing

apply, getInputClasses, getOutputClasses

Methods inherited from class com.rapidminer.operator.Operator

addError, addValue, addWarning, apply, checkDeprecations, checkForStop, checkIO, checkProperties, clearErrorList, cloneOperator, createExperimentTree, createExperimentTree, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, createProcessTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getEncoding, getErrorList, getExperiment, getInnerOperatorsXML, getInput, getInput, getInput, getInputDescription, getIOContainerForInApplyLoopBreakpoint, getIODescription, getLog, getName, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsFile, getParameterAsInputStream, getParameterAsInt, getParameterAsMatrix, getParameterAsString, getParameterList, getParameters, getParameterType, getParent, getProcess, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isEnabled, isExpanded, isParallel, isParameterSet, log, logError, logNote, logWarning, performAdditionalChecks, processFinished, processStarts, register, registerOperator, remove, rename, resume, setApplyCount, setBreakpoint, setEnabled, setExpanded, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, unregisterOperator, writeXML

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

PARAMETER_SAMPLE_SIZE

public static final java.lang.String PARAMETER_SAMPLE_SIZE

The parameter name for "The fraction of examples which should be sampled"

See Also:

Constant Field Values

Constructor Detail

AbsoluteStratifiedSampling

public AbsoluteStratifiedSampling(OperatorDescription description)

Method Detail

getRatio

public double getRatio(ExampleSet exampleSet)
                throws OperatorException

Description copied from class: AbstractStratifiedSampling

This method should return the ratio used for stratifiedSampling

Specified by:

getRatio in class AbstractStratifiedSampling

Throws:

OperatorException

getParameterTypes

public java.util.List<ParameterType> getParameterTypes()

Description copied from class: Operator

Returns a list of ParameterTypes describing the parameters of this operator. The default implementation returns an empty list if no input objects can be retained and special parameters for those input objects which can be prevented from being consumed.

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class AbstractStratifiedSampling