com.rapidminer.operator.learner.functions.kernel
Class MyKLRLearner

java.lang.Object
  com.rapidminer.tools.AbstractObservable<Operator>
      com.rapidminer.operator.Operator
          com.rapidminer.operator.learner.AbstractLearner
              com.rapidminer.operator.learner.functions.kernel.AbstractKernelBasedLearner
                  com.rapidminer.operator.learner.functions.kernel.AbstractMySVMLearner
                      com.rapidminer.operator.learner.functions.kernel.MyKLRLearner

All Implemented Interfaces:

ConfigurationListener, PreviewListener, ResourceConsumer, CapabilityProvider, Learner, ParameterHandler, LoggingHandler, Observable<Operator>

public class MyKLRLearner
extends AbstractMySVMLearner

This is the Java implementation of myKLR by Stefan Rüping. myKLR is a tool for large scale kernel logistic regression based on the algorithm of Keerthi/etal/2003 and the code of mySVM.

Author:

Ingo Mierswa

Keywords:

KLR

Field Summary

Fields inherited from class com.rapidminer.operator.learner.functions.kernel.AbstractMySVMLearner

KERNEL_ANOVA, KERNEL_DOT, KERNEL_EPANECHNIKOV, KERNEL_GAUSSIAN_COMBINATION, KERNEL_MULTIQUADRIC, KERNEL_NEURAL, KERNEL_POLYNOMIAL, KERNEL_RADIAL, KERNEL_TYPES, PARAMETER_C, PARAMETER_CALCULATE_WEIGHTS, PARAMETER_CONVERGENCE_EPSILON, PARAMETER_KERNEL_A, PARAMETER_KERNEL_B, PARAMETER_KERNEL_CACHE, PARAMETER_KERNEL_DEGREE, PARAMETER_KERNEL_GAMMA, PARAMETER_KERNEL_SHIFT, PARAMETER_KERNEL_SIGMA1, PARAMETER_KERNEL_SIGMA2, PARAMETER_KERNEL_SIGMA3, PARAMETER_KERNEL_TYPE, PARAMETER_MAX_ITERATIONS, PARAMETER_RETURN_OPTIMIZATION_PERFORMANCE, PARAMETER_SCALE

Fields inherited from interface com.rapidminer.operator.learner.CapabilityProvider

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

MyKLRLearner(OperatorDescription description)

Method Summary

SVMInterface	createSVM(Attribute label, Kernel kernel, SVMExamples sVMExamples, ExampleSet rapidMinerExamples) Creates a new SVM according to the given label.
AbstractMySVMModel	createSVMModel(ExampleSet exampleSet, SVMExamples sVMExamples, Kernel kernel, int kernelType) Creates a new SVM model from the given data.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
boolean	supportsCapability(OperatorCapability lc) Checks for Learner capabilities.

Methods inherited from class com.rapidminer.operator.learner.functions.kernel.AbstractMySVMLearner

canCalculateWeights, createKernel, getKernel, getOptimizationPerformance, getSVM, getWeightCalculationError, getWeights, learn, shouldCalculateWeights, shouldDeliverOptimizationPerformance

Methods inherited from class com.rapidminer.operator.learner.functions.kernel.AbstractKernelBasedLearner

getModelClass

Methods inherited from class com.rapidminer.operator.learner.AbstractLearner

canEstimatePerformance, doWork, doWork, getEstimatedPerformance, getExampleSetInputPort, getWeights, onlyWarnForNonSufficientCapabilities, shouldAutoConnect, shouldEstimatePerformance

Methods inherited from class com.rapidminer.operator.Operator

acceptsInput, addError, addError, addValue, addWarning, apply, apply, assumePreconditionsSatisfied, checkAll, checkAllExcludingMetaData, checkDeprecations, checkForStop, checkIO, checkProperties, clear, clearErrorList, cloneOperator, collectErrors, createExperimentTree, createExperimentTree, createFromXML, createFromXML, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, createProcessTree, disconnectPorts, execute, fireUpdate, freeMemory, getAddOnlyAdditionalOutput, getApplyCount, getCompatibilityLevel, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getDOMRepresentation, getEncoding, getErrorList, getExecutionUnit, getExperiment, getIncompatibleVersionChanges, getInput, getInput, getInput, getInputClasses, getInputDescription, getInputPorts, getIODescription, getLog, getLogger, getName, getNumberOfBreakpoints, getOperatorClassName, getOperatorDescription, getOutputClasses, getOutputPorts, getParameter, getParameterAsBoolean, getParameterAsChar, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsFile, getParameterAsInputStream, getParameterAsInt, getParameterAsMatrix, getParameterAsRepositoryLocation, getParameterAsString, getParameterHandler, getParameterList, getParameters, getParameterTupel, getParameterType, getParent, getPortOwner, getProcess, getResourceConsumptionEstimator, getRoot, getStartTime, getTransformer, getUserDescription, getValue, getValues, getXML, getXML, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isDirty, isEnabled, isExpanded, isParallel, isParameterSet, isRunning, log, log, logError, logNote, logWarning, lookupOperator, makeDirty, makeDirtyOnUpdate, notifyRenaming, performAdditionalChecks, preAutoWire, processFinished, processStarts, producesOutput, propagateDirtyness, register, registerOperator, remove, removeAndKeepConnections, rename, resume, setBreakpoint, setCompatibilityLevel, setEnabled, setEnclosingProcess, setExpanded, setInput, setListParameter, setPairParameter, setParameter, setParameters, setUserDescription, shouldAutoConnect, shouldStopStandaloneExecution, toString, transformMetaData, unregisterOperator, updateExecutionOrder, walk, writeXML, writeXML

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

Constructor Detail

MyKLRLearner

public MyKLRLearner(OperatorDescription description)

Method Detail

supportsCapability

public boolean supportsCapability(OperatorCapability lc)

Description copied from interface: CapabilityProvider

Checks for Learner capabilities. Should return true if the given capability is supported.

Specified by:

supportsCapability in interface CapabilityProvider

Overrides:

supportsCapability in class AbstractMySVMLearner

createSVMModel

public AbstractMySVMModel createSVMModel(ExampleSet exampleSet,
                                         SVMExamples sVMExamples,
                                         Kernel kernel,
                                         int kernelType)

Description copied from class: AbstractMySVMLearner

Creates a new SVM model from the given data.

Specified by:

createSVMModel in class AbstractMySVMLearner

createSVM

public SVMInterface createSVM(Attribute label,
                              Kernel kernel,
                              SVMExamples sVMExamples,
                              ExampleSet rapidMinerExamples)
                       throws OperatorException

Description copied from class: AbstractMySVMLearner

Creates a new SVM according to the given label.

Specified by:

createSVM in class AbstractMySVMLearner

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. ATTENTION! This will create new parameterTypes. For calling already existing parameter types use getParameters().getParameterTypes();

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class AbstractMySVMLearner