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oracle.dmt.jdm.algorithm.nmf
Interface OraNMFAlgorithmSettings

All Superinterfaces:

javax.datamining.base.AlgorithmSettings, OraFeatureExtractionAlgorithmSettings

public interface OraNMFAlgorithmSettings

extends OraFeatureExtractionAlgorithmSettings

An instance of OraNMFAlgorithmSettings is used to specify settings for the NMF Feature Extraction algorithm. It allows a knowledgeable user to fine tune algorithm parameters. Generally, not all parameters must be specified, however, those specified are taken into account by the underlying DME. Following NMF algorithm settings can be specified to tune the model.

• Random Seed - this is used as a seed for random number generated by the algorithm. Default value is -1.
• Maximum number of Iterations - this is used to specify the maximum number iterations the algorithm need to use to build the model. Default value is 50.
• Convergence tolerance for NMF algorithm. Default value is 0.05.

See Also:

AlgorithmSettings, OraFeatureExtractionAlgorithmSettings

Method Summary

long	getMaxNumberOfIterations() Get the number of iterations.
double	getMinConvergenceTolerance() Get the minimum convergence tolerance.
long	getSeedValue() Get the seed set for random number generator.
void	setMaxNumberOfIterations(long maxIterations) Set the maximum number of iterations.
void	setMinConvergenceTolerance(double minConvergenceTolerance) Sets the minimum convergence tolerance.
void	setSeedValue(long seedValue) Set the seed value for the random number generator.

Methods inherited from interface javax.datamining.base.AlgorithmSettings

getMiningAlgorithm, verify

Method Detail

getMaxNumberOfIterations

public long getMaxNumberOfIterations()

Get the number of iterations.

Returns:

long

setMaxNumberOfIterations

public void setMaxNumberOfIterations(long maxIterations)

Set the maximum number of iterations.

Parameters:

maxIterations - maximum number of iterations

Returns:

void

getMinConvergenceTolerance

public double getMinConvergenceTolerance()

Get the minimum convergence tolerance.

Returns:

double

setMinConvergenceTolerance

public void setMinConvergenceTolerance(double minConvergenceTolerance)

Sets the minimum convergence tolerance.

Parameters:

minConvergenceTolerance - minimum convergence tolerance

Returns:

void

getSeedValue

public long getSeedValue()

Get the seed set for random number generator.

Returns:

long

setSeedValue

public void setSeedValue(long seedValue)

Set the seed value for the random number generator.

Parameters:

seedValue - seed value

Returns:

void

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