com.rapidminer.operator.learner.igss.hypothesis
Class GSSModel

java.lang.Object
  com.rapidminer.operator.AbstractIOObject
      com.rapidminer.operator.ResultObjectAdapter
          com.rapidminer.operator.AbstractModel
              com.rapidminer.operator.learner.PredictionModel
                  com.rapidminer.operator.learner.igss.hypothesis.GSSModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Readable, Reportable, LoggingHandler, java.io.Serializable

public class GSSModel
extends PredictionModel

Wrapper class for rules found by the Iterating GSS algorithm. Needed because IGSS rules need to be small in order to keep many in main memory

Author:

Dirk Dach

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class com.rapidminer.operator.AbstractIOObject

AbstractIOObject.InputStreamProvider

Field Summary

protected double[]	confidences The confidence values for all predictions.
protected boolean	crisp crisp only crisp ...
protected Hypothesis	hypothesis The all hypothesis of the model.
protected static Attribute[]	regularAttributes The regular attributes used by all rules.

Constructor Summary

GSSModel(ExampleSet exampleSet, Hypothesis hypothesis, double[] confidences)
Creates a new GSSModel.

Method Summary

boolean	applicable(Example example) Returns true if the model is applicable to the current example.
boolean	equals(java.lang.Object o) Returns true if the hypothesis contained in the model are equal.
Hypothesis	getHypothesis() Returns the hypothesis stored in this model.
int	getPredictionIndex() Returns the most probable label index for this model.
int	hashCode()
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Iterates over all examples and applies the model to them.
java.lang.String	toString() Returns a String representation of the hypothesis stored in this model.

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

apply, checkCompatibility, copyPredictedLabel, createPredictedLabel, createPredictionAttributes, getLabel, removePredictedLabel, removePredictedLabel, supportsConfidences

Methods inherited from class com.rapidminer.operator.AbstractModel

getExtension, getFileDescription, getName, getTrainingHeader, isInTargetEncoding, isUpdatable, setParameter, updateModel

Methods inherited from class com.rapidminer.operator.ResultObjectAdapter

addAction, getActions, getAnnotations, getResultIcon, log, log, logError, logNote, logWarning, toHTML, toResultString

Methods inherited from class com.rapidminer.operator.AbstractIOObject

appendOperatorToHistory, copy, getLog, getProcessingHistory, getSource, initWriting, read, read, read, read, setLoggingHandler, setSource, write

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.rapidminer.operator.ResultObject

getActions, getResultIcon, toResultString

Methods inherited from interface com.rapidminer.operator.IOObject

appendOperatorToHistory, copy, getAnnotations, getLog, getProcessingHistory, getSource, setLoggingHandler, setSource, write

Field Detail

hypothesis

protected Hypothesis hypothesis

The all hypothesis of the model.

confidences

protected double[] confidences

The confidence values for all predictions.

regularAttributes

protected static Attribute[] regularAttributes

The regular attributes used by all rules.

crisp

protected boolean crisp

crisp only crisp ...

Constructor Detail

GSSModel

public GSSModel(ExampleSet exampleSet,
                Hypothesis hypothesis,
                double[] confidences)

Creates a new GSSModel.

Method Detail

equals

public boolean equals(java.lang.Object o)

Returns true if the hypothesis contained in the model are equal.

Overrides:

equals in class java.lang.Object

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

getPredictionIndex

public int getPredictionIndex()

Returns the most probable label index for this model.

performPrediction

public ExampleSet performPrediction(ExampleSet exampleSet,
                                    Attribute predictedLabel)
                             throws OperatorException

Iterates over all examples and applies the model to them.

Specified by:

performPrediction in class PredictionModel

Throws:

OperatorException

applicable

public boolean applicable(Example example)

Returns true if the model is applicable to the current example.

toString

public java.lang.String toString()

Returns a String representation of the hypothesis stored in this model.

Specified by:

toString in interface Readable

Overrides:

toString in class PredictionModel

getHypothesis

public Hypothesis getHypothesis()

Returns the hypothesis stored in this model.