Java* API Reference for Intel® Data Analytics Acceleration Library 2019
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.