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

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class GPLearner
extends AbstractLearner

Gaussian Process (GP) Learner. The GP is a probabilistic method both for classification and regression.

Author:

Piotr Kasprzak, Ingo Mierswa

Keywords:

GP

Field Summary

static java.lang.String[]	KERNEL_TYPES
static java.lang.String	PARAMETER_EPSILON_TOL The parameter name for "Tolerance for gamma induced projections"
static java.lang.String	PARAMETER_GEOMETRICAL_TOL The parameter name for "Tolerance for geometry induced projections"
static java.lang.String	PARAMETER_GP_TYPE The parameter name for "Regression"
static java.lang.String	PARAMETER_KERNEL_A The parameter name for "The SVM kernel parameter a (neural).
static java.lang.String	PARAMETER_KERNEL_B The parameter name for "The SVM kernel parameter b (neural).
static java.lang.String	PARAMETER_KERNEL_BIAS The parameter name for "The bias used in the poly kernel.
static java.lang.String	PARAMETER_KERNEL_DEGREE The parameter name for "The degree used in the poly kernel.
static java.lang.String	PARAMETER_KERNEL_LENGTHSCALE The parameter name for "The lengthscale r for rbf kernel functions (exp{-1.0 * r^-2 * ||x - bla||}).
static java.lang.String	PARAMETER_KERNEL_SHIFT The parameter name for "The SVM kernel parameter shift (polynomial, Multiquadric).
static java.lang.String	PARAMETER_KERNEL_SIGMA1 The parameter name for "The SVM kernel parameter sigma1 (Epanechnikov, Gaussian Combination, Multiquadric).
static java.lang.String	PARAMETER_KERNEL_SIGMA2 The parameter name for "The SVM kernel parameter sigma2 (Gaussian Combination).
static java.lang.String	PARAMETER_KERNEL_SIGMA3 The parameter name for "The SVM kernel parameter sigma3 (Gaussian Combination).
static java.lang.String	PARAMETER_KERNEL_TYPE The parameter name for "The kind of kernel.
static java.lang.String	PARAMETER_MAX_BASIS_VECTORS The parameter name for "Maximum number of basis vectors to be used.

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

GPLearner(OperatorDescription description)

Method Summary

Kernel	createKernel() Create the appropriate kernel function depending on the RapidMiner - ui settings.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(LearnerCapability lc) Checks for Learner capabilities.

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

apply, getEstimatedPerformance, getInputClasses, getInputDescription, getOptimizationPerformance, getOutputClasses, getWeights, onlyWarnForNonSufficientCapabilities, shouldCalculateWeights, shouldDeliverOptimizationPerformance, shouldEstimatePerformance

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_GP_TYPE

public static final java.lang.String PARAMETER_GP_TYPE

The parameter name for "Regression"

See Also:

Constant Field Values

PARAMETER_KERNEL_TYPE

public static final java.lang.String PARAMETER_KERNEL_TYPE

The parameter name for "The kind of kernel."

See Also:

Constant Field Values

PARAMETER_KERNEL_LENGTHSCALE

public static final java.lang.String PARAMETER_KERNEL_LENGTHSCALE

The parameter name for "The lengthscale r for rbf kernel functions (exp{-1.0 * r^-2 * ||x - bla||})."

See Also:

Constant Field Values

PARAMETER_KERNEL_DEGREE

public static final java.lang.String PARAMETER_KERNEL_DEGREE

The parameter name for "The degree used in the poly kernel."

See Also:

Constant Field Values

PARAMETER_KERNEL_BIAS

public static final java.lang.String PARAMETER_KERNEL_BIAS

The parameter name for "The bias used in the poly kernel."

See Also:

Constant Field Values

PARAMETER_KERNEL_SIGMA1

public static final java.lang.String PARAMETER_KERNEL_SIGMA1

The parameter name for "The SVM kernel parameter sigma1 (Epanechnikov, Gaussian Combination, Multiquadric)."

See Also:

Constant Field Values

PARAMETER_KERNEL_SIGMA2

public static final java.lang.String PARAMETER_KERNEL_SIGMA2

The parameter name for "The SVM kernel parameter sigma2 (Gaussian Combination)."

See Also:

Constant Field Values

PARAMETER_KERNEL_SIGMA3

public static final java.lang.String PARAMETER_KERNEL_SIGMA3

The parameter name for "The SVM kernel parameter sigma3 (Gaussian Combination)."

See Also:

Constant Field Values

PARAMETER_KERNEL_SHIFT

public static final java.lang.String PARAMETER_KERNEL_SHIFT

The parameter name for "The SVM kernel parameter shift (polynomial, Multiquadric)."

See Also:

Constant Field Values

PARAMETER_KERNEL_A

public static final java.lang.String PARAMETER_KERNEL_A

The parameter name for "The SVM kernel parameter a (neural)."

See Also:

Constant Field Values

PARAMETER_KERNEL_B

public static final java.lang.String PARAMETER_KERNEL_B

The parameter name for "The SVM kernel parameter b (neural)."

See Also:

Constant Field Values

PARAMETER_MAX_BASIS_VECTORS

public static final java.lang.String PARAMETER_MAX_BASIS_VECTORS

The parameter name for "Maximum number of basis vectors to be used."

See Also:

Constant Field Values

PARAMETER_EPSILON_TOL

public static final java.lang.String PARAMETER_EPSILON_TOL

The parameter name for "Tolerance for gamma induced projections"

See Also:

Constant Field Values

PARAMETER_GEOMETRICAL_TOL

public static final java.lang.String PARAMETER_GEOMETRICAL_TOL

The parameter name for "Tolerance for geometry induced projections"

See Also:

Constant Field Values

KERNEL_TYPES

public static final java.lang.String[] KERNEL_TYPES

Constructor Detail

GPLearner

public GPLearner(OperatorDescription description)

Method Detail

supportsCapability

public boolean supportsCapability(LearnerCapability lc)

Description copied from interface: Learner

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

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

createKernel

public Kernel createKernel()
                    throws OperatorException

Create the appropriate kernel function depending on the RapidMiner - ui settings.

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 Operator