Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1
Contains classes for running the EM for GMM algorithm.
Packages | |
package | init |
Contains classes for initializing the EM for GMM algorithm. | |
Classes | |
class | Batch |
Runs the EM for GMM algorithm in the batch processing mode. More... | |
class | CovarianceStorageId |
Available identifiers of covariance types in the EM for GMM algorithm. More... | |
class | Input |
Input objects for the EM for GMM algorithm More... | |
class | InputCovariancesId |
Available identifiers of input covariance objects for the EM for GMM algorithm. More... | |
class | InputId |
Available identifiers of input objects for the EM for GMM algorithm. More... | |
class | InputValuesId |
Available identifiers of input objects for the EM for GMM algorithm. More... | |
class | Method |
Available methods for running the EM for GMM algorithm. More... | |
class | Parameter |
Parameters of the EM for GMM algorithm. More... | |
class | Result |
Provides methods to access final results obtained with the compute() method of the EM for GMM algorithm in the batch processing mode. More... | |
class | ResultCovariancesId |
Available identifiers of results of the EM for GMM algorithm. More... | |
class | ResultId |
Available identifiers of results of the EM for GMM algorithm. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.