edu.udo.cs.yale.generator
Class SingularNumericalGenerator

java.lang.Object
  edu.udo.cs.yale.generator.FeatureGenerator
      edu.udo.cs.yale.generator.SingularNumericalGenerator

Direct Known Subclasses:

AbsoluteValueGenerator, ExponentialFunctionGenerator, FloorCeilGenerator, NormalizationGenerator, ReciprocalValueGenerator, SquareRootGenerator, TrigonometricFunctionGenerator

public abstract class SingularNumericalGenerator
extends FeatureGenerator

Generators of this class will have one numerical input attribute and one output attribute.

Version:

$Id: SingularNumericalGenerator.java,v 2.13 2006/03/27 13:21:58 ingomierswa Exp $

Author:

Ingo Mierswa

Field Summary

private static Attribute[]

INPUT_ATTR

Fields inherited from class edu.udo.cs.yale.generator.FeatureGenerator

resultAttributes, SELECTION_MODE_ALL, SELECTION_MODE_RESTRICTIVE

Constructor Summary

SingularNumericalGenerator()

Method Summary

abstract double	calculateValue(double value) Subclasses have to implement this method to calculate the function result.
void	generate(DataRow data) Generates the new attribute values for the example e and returns the new attribute values as doubles.
Attribute[]	getInputAttributes() Returns an array of Attributes where the length is the arity of the generator, [i] is the attribute type of the i-th argument.
java.util.List<Attribute[]>	getInputCandidates(ExampleSet exampleSet, int maxDepth, java.lang.String[] functions) Returns all compatible input attribute arrays for this generator from the given example set as list.
Attribute[]	getOutputAttributes(ExampleTable input) Returns the generated attributes types.
java.lang.String	toString()

Methods inherited from class edu.udo.cs.yale.generator.FeatureGenerator

argumentsSet, checkCompatibility, createGeneratorForFunction, equals, generateAll, getArgument, getExampleTable, getFunction, getSelectionMode, newInstance, selectGenerator, setArguments, setExampleTable, setFunction, setSelectionMode

Methods inherited from class java.lang.Object

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

Field Detail

INPUT_ATTR

private static final Attribute[] INPUT_ATTR

Constructor Detail

SingularNumericalGenerator

public SingularNumericalGenerator()

Method Detail

calculateValue

public abstract double calculateValue(double value)

Subclasses have to implement this method to calculate the function result.

getInputAttributes

public Attribute[] getInputAttributes()

Description copied from class: FeatureGenerator

Returns an array of Attributes where the length is the arity of the generator, [i] is the attribute type of the i-th argument.

Specified by:

getInputAttributes in class FeatureGenerator

getOutputAttributes

public Attribute[] getOutputAttributes(ExampleTable input)

Description copied from class: FeatureGenerator

Returns the generated attributes types.

Specified by:

getOutputAttributes in class FeatureGenerator

getInputCandidates

public java.util.List<Attribute[]> getInputCandidates(ExampleSet exampleSet,
                                                      int maxDepth,
                                                      java.lang.String[] functions)

Returns all compatible input attribute arrays for this generator from the given example set as list.

Specified by:

getInputCandidates in class FeatureGenerator

generate

public void generate(DataRow data)
              throws GenerationException

Description copied from class: FeatureGenerator

Generates the new attribute values for the example e and returns the new attribute values as doubles. e.getAttribute(getArgument(i)) is the correct way to access argument i. If the according attribute's type is VALUE_SERIES, the end index can be determined by i_end = getExampleTable().getBlockEndIndex(getArgument(i)). Thus all values of the series can be accessed using indices i through i_end.

Specified by:

generate in class FeatureGenerator

Throws:

GenerationException

toString

public java.lang.String toString()

Overrides:

toString in class FeatureGenerator