Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Contains classes for running the principal component analysis (PCA) algorithm in the batch processing mode.
Packages | |
| package | quality_metric |
| Contains classes for computing the explained variance metric. | |
| package | quality_metric_set |
| Contains classes to check the quality of the model trained with the PCA algorithm. | |
| package | transform |
| Contains classes for computing PCA transformation solvers. | |
Classes | |
| class | BaseParameter |
| Common parameters of the PCA algorithm. More... | |
| class | Batch |
| Runs the PCA algorithm in the batch processing mode. More... | |
| class | BatchParameter |
| Parameters of the PCA algorithm in the batch processing mode. More... | |
| class | DistributedStep1Local |
| Runs the PCA algorithm in the first step of the distributed processing mode. More... | |
| class | DistributedStep2Master |
| Runs the PCA algorithm in the the second step of the distributed processing mode. More... | |
| class | DistributedStep2MasterInput |
| Input objects for the second step of the PCA algorithm in the distributed processing mode. More... | |
| class | DistributedStep2MasterParameter |
| Parameters of the PCA algorithm in the second step of the distributed processing mode. More... | |
| class | Input |
| Input objects for the PCA algorithm More... | |
| class | InputId |
| Available identifiers of input objects for the PCA algorithm. More... | |
| class | MasterInputId |
| Available identifiers of the PCA algorithm on the second step in the distributed processing mode. More... | |
| class | Method |
| Available methods for running PCA algorithm. More... | |
| class | Online |
| Runs the PCA algorithm in the online processing mode. More... | |
| class | OnlineParameter |
| Parameters of the PCA algorithm in the online processing mode. More... | |
| class | PartialCorrelationResult |
| Provides methods to access partial results obtained with compute() of the correlation method of PCA algorithm in the online or distributed processing mode. More... | |
| class | PartialCorrelationResultID |
| Available identifiers of partial results of the correlation method of the PCA algorithm. More... | |
| class | PartialSVDCollectionResultID |
| Available identifiers of partial results of the SVD method of the PCA algorithm. More... | |
| class | PartialSVDResult |
| Provides methods to access partial results obtained with the compute() of the SVD method of the PCA algorithm in the online or distributed processing mode. More... | |
| class | PartialSVDTableResultID |
| Available identifiers of partial results of the SVD method of the PCA algorithm. More... | |
| class | Result |
| Provides methods to access final results obtained with the compute() method of PCA algorithm in the batch processing mode, or finalizeCompute() method in the online or distributed processing mode. More... | |
| class | ResultId |
| Available types of results of the PCA algorithm. More... | |
| class | ResultsToComputeId |
| Available identifiers of results of the PCA algorithm. More... | |
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