Package edu.udo.cs.yale.operator.generator

Provides YALE operators for data generation.

See:
Description

Interface Summary

TargetFunction

A target function which is used for the ExampleSetGenerator operator.

Class Summary

CheckerboardClassificationFunction	Returns a checkerboard classification function.
ClassificationFunction	A target function for classification labels, i.e. non-continous nominal labels.
Cluster	Helper class for clusters information.
ComplicatedFunction	The label is att1*att1*att2 - att1*att2 + max(att1,att2) - exp(att3).
ComplicatedFunction2	The label is att1*att1*att1 + att2*att2 + att1*att2 + att1/att2 - 1.0d/(att3*att3).
Dot	Helper class containing all information about a dot.
ExampleSetGenerator	Generates a random example set for testing purposes.
GaussianFunction	Generates a gaussian distribution for all attributes.
GaussianMixtureFunction	Generates a gaussian distribution for all attributes.
GridFunction	Generates a uniformly distributed grid in the given dimensions.
InteractionClassificationFunction	The label is positive if att1 < 0 or="or" att2="att2"> 0 and att3 < 0. <="<" />D>
MassiveDataGenerator	Generates huge amounts of data in either sparse or dense format.
MultiClassificationFunction	The label is the first class, if the sum of all arguments modulo 2 is 0, it is the second class if the sum modulo 3 is 0 and the third class if the sum modulo 5 is 0.
MultipleLabelGenerator	Generates a random example set for testing purposes with more than one label.
NominalExampleSetGenerator	Generates a random example set for testing purposes.
NonLinearFunction	The label is att1*att2*att3 + att1*att2 + att2*att2.
OneThirdClassification	The label is positive if att1 < 0.3333 and="and" negative="negative" else.="else." <="<" />D>
OneVariableNonLinearFunction	The label is 3*att1*att1*att1 - att1*att1 + 1000 / abs(att1) + 2000 * abs(att1).
PolynomialClassificationFunction	The label is positive if (att1*att1*att1 + att2*att2 - att3*att3 + att4) > 0.
PolynomialFunction	The label is att1*att1*att1 + att2*att2 + att3.
QuadraticClassificationFunction	The label is positive if (att1*att1*att1*att1) > 100.
RandomClassificationFunction	The label is randomly chosen.
RandomDotsClassificationFunction	Returns a classification function with one major class and a set of dots of the second class.
RandomFunction	The label is randomly generated.
RegressionFunction	A target function for regression labels, i.e. continous numercial labels.
RingClusteringFunction	Generates a data set for two attributes.
SimpleNonLinearClassificationFunction	The label is positive if att1*att2 > 50 and att1 * att2 < 80. <="<" />D>
SimplePolynomialClassificationFunction	The label is positive if (att1*att1*att1*att1) > 100.
SimpleSinusFunction	The label is sin(att1).
SimpleSuperpositionFunction	The label is 5 * sin(att1) + sin(30 * att1).
SincFunction	The sinc function on R^n for n >= 1 The Label is f(x) = sin(x) / ||x||, if ||x|| !
SinusClassificationFunction	The label is positive if (sin(att1*att2) + sin(att1+att2)) > 0.
SinusFrequencyFunction	The label is 10 * sin(3 * att1) + 12 * sin(7 * att1) + 11 * sin(5 * att2) + 9 * sin(10 * att2) + 10 * sin(8 * (att1 + att2)).
SinusFunction	The label is sin(att1*att2) + sin(att1+att2).
SpiralClusteringFunction	Generates a data set for two attributes.
SquarePulseFunction	The label is a square pulse in attribute att1.
SumClassificationFunction	The label is positive if the sum of all arguments is positive.
SumFunction	The label is the sum of the arguments.
TransactionDatasetFunction	Generates an Association function transaction dataset.
TriangularFunction	The label is att1 - (int)att1.

Exception Summary

TargetFunction.FunctionException

Will be thrown if an error occurrs during the calculation of the target function.

Package edu.udo.cs.yale.operator.generator Description

Provides YALE operators for data generation. These are mainly used for testing purposes.