Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

Packages | Classes

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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