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

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.LinearMySVMLearner

All Implemented Interfaces:

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

public class LinearMySVMLearner
extends AbstractKernelBasedLearner

This class implements a special case of the MySVM by restricting it to the linear (dot) kernel. This way the weights of the linear combination can be extracted and stored solely in the resulting model. The model is optimized for small size / fast store and retrieve operations as well as time efficient during application.

Author:

Sebastian Land

Field Summary

static int	KERNEL_DOT Indicates a linear kernel.
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_C
static java.lang.String	PARAMETER_CONVERGENCE_EPSILON The parameter name for "Precision on the KKT conditions"
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_KERNEL_CACHE The parameter name for "Size of the cache for kernel evaluations im MB "
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_MAX_ITERATIONS The parameter name for "Stop after this many iterations"
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"
static java.lang.String	PARAMETER_SCALE The parameter name for "Scale the example values and store the scaling parameters for test set.

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

LinearMySVMLearner(OperatorDescription description)

Method Summary

protected SVMInterface	createSVM(Attribute label, Kernel kernel, SVMExamples sVMExamples, ExampleSet rapidMinerExamples)
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
ResourceConsumptionEstimator	getResourceConsumptionEstimator() Subclasses can override this method if they are able to estimate the consumed resources (CPU time and memory), based on their input.
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(OperatorCapability lc) Checks for Learner capabilities.

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

getModelClass

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

canCalculateWeights, canEstimatePerformance, doWork, doWork, getEstimatedPerformance, getExampleSetInputPort, getOptimizationPerformance, getWeightCalculationError, getWeights, getWeights, onlyWarnForNonSufficientCapabilities, shouldAutoConnect, shouldCalculateWeights, shouldDeliverOptimizationPerformance, 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, 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

Field Detail

PARAMETER_KERNEL_CACHE

public static final java.lang.String PARAMETER_KERNEL_CACHE

The parameter name for "Size of the cache for kernel evaluations im MB "

See Also:

Constant Field Values

PARAMETER_CONVERGENCE_EPSILON

public static final java.lang.String PARAMETER_CONVERGENCE_EPSILON

The parameter name for "Precision on the KKT conditions"

See Also:

Constant Field Values

PARAMETER_MAX_ITERATIONS

public static final java.lang.String PARAMETER_MAX_ITERATIONS

The parameter name for "Stop after this many iterations"

See Also:

Constant Field Values

PARAMETER_SCALE

public static final java.lang.String PARAMETER_SCALE

The parameter name for "Scale the example values and store the scaling parameters for test set."

See Also:

Constant Field Values

PARAMETER_C

public static final java.lang.String PARAMETER_C

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

KERNEL_DOT

public static final int KERNEL_DOT

Indicates a linear kernel.

See Also:

Constant Field Values

Constructor Detail

LinearMySVMLearner

public LinearMySVMLearner(OperatorDescription description)

Method Detail

createSVM

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

Throws:

OperatorException

learn

public Model learn(ExampleSet exampleSet)
            throws OperatorException

Description copied from interface: Learner

Trains a model. This method should be called by apply() and is implemented by subclasses.

Throws:

OperatorException

supportsCapability

public boolean supportsCapability(OperatorCapability lc)

Description copied from interface: CapabilityProvider

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

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 Operator

getResourceConsumptionEstimator

public ResourceConsumptionEstimator getResourceConsumptionEstimator()

Description copied from class: Operator

Subclasses can override this method if they are able to estimate the consumed resources (CPU time and memory), based on their input. The default implementation returns null.

Specified by:

getResourceConsumptionEstimator in interface ResourceConsumer

Overrides:

getResourceConsumptionEstimator in class Operator