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

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class KernelLogisticRegression
extends AbstractLearner

This operator determines a logistic regression model.

Author:

Ingo Mierswa

Field Summary

static java.lang.String	PARAMETER_C The parameter name for "The SVM complexity constant (0: calculates probably good value).
static java.lang.String	PARAMETER_CROSSOVER_PROB The parameter name for "The probability for crossovers.
static java.lang.String	PARAMETER_GENERATIONS_WITHOUT_IMPROVAL The parameter name for "Stop after this number of generations without improvement (-1: optimize until max_iterations).
static java.lang.String	PARAMETER_KEEP_BEST The parameter name for "Indicates if the best individual should survive (elititst selection).
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_DEGREE The parameter name for "The SVM kernel parameter degree (polynomial, anova, Epanechnikov).
static java.lang.String	PARAMETER_KERNEL_GAMMA The parameter name for "The SVM kernel parameter gamma (RBF, anova).
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 SVM kernel type"
static java.lang.String	PARAMETER_LOCAL_RANDOM_SEED The parameter name for "Use the given random seed instead of global random numbers (-1: use global).
static java.lang.String	PARAMETER_MAX_GENERATIONS The parameter name for "Stop after this many evaluations"
static java.lang.String	PARAMETER_MUTATION_TYPE The parameter name for "The type of the mutation operator.
static java.lang.String	PARAMETER_POPULATION_SIZE The parameter name for "The population size (-1: number of examples)"
static java.lang.String	PARAMETER_SELECTION_TYPE The parameter name for "The type of the selection operator.
static java.lang.String	PARAMETER_SHOW_CONVERGENCE_PLOT The parameter name for "Indicates if a dialog with a convergence plot should be drawn.
static java.lang.String	PARAMETER_START_POPULATION_TYPE The parameter name for "The type of start population initialization.
static java.lang.String	PARAMETER_TOURNAMENT_FRACTION The parameter name for "The fraction of the population used for tournament selection.

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

KernelLogisticRegression(OperatorDescription description)

Method Summary

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_KERNEL_TYPE

public static final java.lang.String PARAMETER_KERNEL_TYPE

The parameter name for "The SVM kernel type"

See Also:

Constant Field Values

PARAMETER_KERNEL_GAMMA

public static final java.lang.String PARAMETER_KERNEL_GAMMA

The parameter name for "The SVM kernel parameter gamma (RBF, anova)."

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_DEGREE

public static final java.lang.String PARAMETER_KERNEL_DEGREE

The parameter name for "The SVM kernel parameter degree (polynomial, anova, Epanechnikov)."

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_C

public static final java.lang.String PARAMETER_C

The parameter name for "The SVM complexity constant (0: calculates probably good value)."

See Also:

Constant Field Values

PARAMETER_START_POPULATION_TYPE

public static final java.lang.String PARAMETER_START_POPULATION_TYPE

The parameter name for "The type of start population initialization."

See Also:

Constant Field Values

PARAMETER_MAX_GENERATIONS

public static final java.lang.String PARAMETER_MAX_GENERATIONS

The parameter name for "Stop after this many evaluations"

See Also:

Constant Field Values

PARAMETER_GENERATIONS_WITHOUT_IMPROVAL

public static final java.lang.String PARAMETER_GENERATIONS_WITHOUT_IMPROVAL

The parameter name for "Stop after this number of generations without improvement (-1: optimize until max_iterations)."

See Also:

Constant Field Values

PARAMETER_POPULATION_SIZE

public static final java.lang.String PARAMETER_POPULATION_SIZE

The parameter name for "The population size (-1: number of examples)"

See Also:

Constant Field Values

PARAMETER_TOURNAMENT_FRACTION

public static final java.lang.String PARAMETER_TOURNAMENT_FRACTION

The parameter name for "The fraction of the population used for tournament selection."

See Also:

Constant Field Values

PARAMETER_KEEP_BEST

public static final java.lang.String PARAMETER_KEEP_BEST

The parameter name for "Indicates if the best individual should survive (elititst selection)."

See Also:

Constant Field Values

PARAMETER_MUTATION_TYPE

public static final java.lang.String PARAMETER_MUTATION_TYPE

The parameter name for "The type of the mutation operator."

See Also:

Constant Field Values

PARAMETER_SELECTION_TYPE

public static final java.lang.String PARAMETER_SELECTION_TYPE

The parameter name for "The type of the selection operator."

See Also:

Constant Field Values

PARAMETER_CROSSOVER_PROB

public static final java.lang.String PARAMETER_CROSSOVER_PROB

The parameter name for "The probability for crossovers."

See Also:

Constant Field Values

PARAMETER_LOCAL_RANDOM_SEED

public static final java.lang.String PARAMETER_LOCAL_RANDOM_SEED

The parameter name for "Use the given random seed instead of global random numbers (-1: use global)."

See Also:

Constant Field Values

PARAMETER_SHOW_CONVERGENCE_PLOT

public static final java.lang.String PARAMETER_SHOW_CONVERGENCE_PLOT

The parameter name for "Indicates if a dialog with a convergence plot should be drawn."

See Also:

Constant Field Values

Constructor Detail

KernelLogisticRegression

public KernelLogisticRegression(OperatorDescription description)

Method Detail

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(LearnerCapability lc)

Description copied from interface: Learner

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.

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class Operator