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

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.learner.AbstractLearner
          com.rapidminer.operator.learner.functions.kernel.AbstractMySVMLearner
              com.rapidminer.operator.learner.functions.kernel.JMySVMLearner

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class JMySVMLearner
extends AbstractMySVMLearner

This learner uses the Java implementation of the support vector machine mySVM by Stefan Rüping. This learning method can be used for both regression and classification and provides a fast algorithm and good results for many learning tasks.

Author:

Ingo Mierswa

Keywords:

SVM

Field Summary

static java.lang.String	PARAMETER_BALANCE_COST The parameter name for "Adapts Cpos and Cneg to the relative size of the classes"
static java.lang.String	PARAMETER_EPSILON The parameter name for "Insensitivity constant.
static java.lang.String	PARAMETER_EPSILON_MINUS The parameter name for "Epsilon for negative deviation only"
static java.lang.String	PARAMETER_EPSILON_PLUS The parameter name for "Epsilon for positive deviation only"
static java.lang.String	PARAMETER_ESTIMATE_PERFORMANCE The parameter name for "Indicates if this learner should also return a performance estimation.
static java.lang.String	PARAMETER_L_NEG The parameter name for "A factor for the SVM complexity constant for negative examples"
static java.lang.String	PARAMETER_L_POS The parameter name for "A factor for the SVM complexity constant for positive examples"
static java.lang.String	PARAMETER_QUADRATIC_LOSS_NEG The parameter name for "Use quadratic loss for negative deviation"
static java.lang.String	PARAMETER_QUADRATIC_LOSS_POS The parameter name for "Use quadratic loss for positive deviation"

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 class com.rapidminer.operator.learner.AbstractLearner

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

JMySVMLearner(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.
PerformanceVector	getEstimatedPerformance() Returns the estimated performances of this SVM.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
boolean	shouldEstimatePerformance() Returns true if the user wants to estimate the performance (depending on a parameter).

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

createKernel, getKernel, getOptimizationPerformance, getSVM, getWeights, learn, shouldCalculateWeights, shouldDeliverOptimizationPerformance, supportsCapability

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

apply, getInputClasses, getInputDescription, getOutputClasses, onlyWarnForNonSufficientCapabilities

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, 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

Methods inherited from interface com.rapidminer.operator.learner.Learner

getName

Field Detail

PARAMETER_ESTIMATE_PERFORMANCE

public static final java.lang.String PARAMETER_ESTIMATE_PERFORMANCE

The parameter name for "Indicates if this learner should also return a performance estimation."

See Also:

Constant Field Values

PARAMETER_L_POS

public static final java.lang.String PARAMETER_L_POS

The parameter name for "A factor for the SVM complexity constant for positive examples"

See Also:

Constant Field Values

PARAMETER_L_NEG

public static final java.lang.String PARAMETER_L_NEG

The parameter name for "A factor for the SVM complexity constant for negative examples"

See Also:

Constant Field Values

PARAMETER_EPSILON

public static final java.lang.String PARAMETER_EPSILON

The parameter name for "Insensitivity constant. No loss if prediction lies this close to true value"

See Also:

Constant Field Values

PARAMETER_EPSILON_PLUS

public static final java.lang.String PARAMETER_EPSILON_PLUS

The parameter name for "Epsilon for positive deviation only"

See Also:

Constant Field Values

PARAMETER_EPSILON_MINUS

public static final java.lang.String PARAMETER_EPSILON_MINUS

The parameter name for "Epsilon for negative deviation only"

See Also:

Constant Field Values

PARAMETER_BALANCE_COST

public static final java.lang.String PARAMETER_BALANCE_COST

The parameter name for "Adapts Cpos and Cneg to the relative size of the classes"

See Also:

Constant Field Values

PARAMETER_QUADRATIC_LOSS_POS

public static final java.lang.String PARAMETER_QUADRATIC_LOSS_POS

The parameter name for "Use quadratic loss for positive deviation"

See Also:

Constant Field Values

PARAMETER_QUADRATIC_LOSS_NEG

public static final java.lang.String PARAMETER_QUADRATIC_LOSS_NEG

The parameter name for "Use quadratic loss for negative deviation"

See Also:

Constant Field Values

Constructor Detail

JMySVMLearner

public JMySVMLearner(OperatorDescription description)

Method Detail

shouldEstimatePerformance

public boolean shouldEstimatePerformance()

Description copied from class: AbstractLearner

Returns true if the user wants to estimate the performance (depending on a parameter). In this case the method getEstimatedPerformance() must also be overriden and deliver the estimated performance. The default implementation returns false.

Specified by:

shouldEstimatePerformance in interface Learner

Overrides:

shouldEstimatePerformance in class AbstractLearner

getEstimatedPerformance

public PerformanceVector getEstimatedPerformance()
                                          throws OperatorException

Returns the estimated performances of this SVM. Does only work for classification tasks.

Specified by:

getEstimatedPerformance in interface Learner

Overrides:

getEstimatedPerformance in class AbstractLearner

Throws:

OperatorException

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.

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class AbstractMySVMLearner