Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

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InitParameter Class Reference

Parameters for the default initialization of the EM for GMM algorithm. More...

Detailed Description

Parameters for the default initialization of the EM for GMM algorithm

Member Function Documentation

double getAccuracyThreshold ( )

Retrieves the threshold for the termination of the algorithms

Returns
Threshold for the termination of the algorithms
CovarianceStorageId getCovarianceStorage ( )

Retrieves identifier of covariance type in the EM for GMM initialization algorithm

Returns
identifier of covariance type in the EM for GMM initialization algorithm
long getNComponents ( )

Retrieves the number of components in the Gaussian mixture model

Returns
Number of components
long getNDepthIterations ( )

Retrieves the number of iterations in every short EM run

Returns
Number of iterations in every short EM run
long getNTrials ( )

Retrieves the number of trials of short EM runs

Returns
Number of trials of short EM runs
long getStartSeed ( )
Deprecated:
This item will be removed in a future release.

Retrieves the seed for randomly generating data points to start the initialization of short EM

Returns
Seed for randomly generating data points to start the initialization of short EM
void setAccuracyThreshold ( double  accuracyThreshold)

Sets the threshold for the termination of the algorithm

Parameters
accuracyThresholdThreshold for the termination of the algorithm
void setCovarianceStorage ( CovarianceStorageId  covarianceStorage)

Sets the identifier of covariance type in the EM for GMM initialization algorithm

Parameters
covarianceStorageidentifier of covariance type in the EM for GMM initialization algorithm
void setEngine ( com.intel.daal.algorithms.engines.BatchBase  engine)

Sets the engine to be used by the EM for GMM initialization algorithm

Parameters
engineto be used by the EM for GMM initialization algorithm
void setNComponents ( long  nComponents)

Sets the number of components in the Gaussian mixture model.

Parameters
nComponentsNumber of components in the Gaussian mixture model.
void setNDepthIterations ( long  nDepthIterations)

Sets the number of iterations in every short EM run

Parameters
nDepthIterationsNumber of iterations in every short EM run
void setNTrials ( long  nTrials)

Sets the number of trials of short EM runs

Parameters
nTrialsNumber of trials of short EM runs
void setStartSeed ( long  startSeed)
Deprecated:
This item will be removed in a future release.

Sets the seed for randomly generating data points to start the initialization of short EM

Parameters
startSeedSeed for randomly generating data points to start the initialization of short EM

The documentation for this class was generated from the following file:

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