Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Classes

Contains classes for computing the correlation or variance-covariance matrix in the batch processing mode. More...

Classes

class  Batch
 Computes the correlation or variance-covariance matrix in the batch processing mode. More...
 
class  BatchImpl
 Base interface for the correlation or variance-covariance matrix algorithm in the batch processing mode More...
 
class  DistributedIface
 Base interface for the correlation or variance-covariance matrix algorithm in the distributed processing mode More...
 
class  DistributedStep1Local
 Computes the results of the correlation or variance-covariance matrix algorithm in the first step of the distributed processing mode. More...
 
class  DistributedStep2Master
 Computes the correlation or variance-covariance matrix in the second step of the distributed processing mode. More...
 
class  DistributedStep2MasterInput
 Input objects for the correlation or variance-covariance matrix algorithm in the second step of the distributed processing mode More...
 
class  DistributedStep2MasterInputId
 Available identifiers of master-node input objects for the correlation or variance-covariance matrix algorithm. More...
 
class  Input
 Input objects for the correlation or variance-covariance matrix algorithm More...
 
class  InputId
 Available identifiers of input objects for the correlation or variance-covariance matrix algorithm. More...
 
class  Method
 Available methods for computing the correlation or variance-covariance matrix. More...
 
class  Online
 Computes the correlation or variance-covariance matrix in the online processing mode. More...
 
class  OnlineImpl
 Base interface for the correlation or variance-covariance matrix algorithm in the online processing mode More...
 
class  OnlineParameter
 Parameters of the correlation or variance-covariance matrix algorithm in the online processing mode. More...
 
class  OutputMatrixType
 Available types of the computed correlation or variance-covariance matrix. More...
 
class  Parameter
 Parameters of the correlation or variance-covariance matrix algorithm. More...
 
class  PartialResult
 Provides methods to access partial results obtained with the compute() method of the correlation or variance-covariance matrix algorithm in the online or distributed processing mode. More...
 
class  PartialResultId
 Available identifiers of partial results of the correlation or variance-covariance matrix algorithm. More...
 
class  Result
 Provides methods to access the results obtained with the compute() method of the correlation or variance-covariance matrix algorithm in the batch processing mode. More...
 
class  ResultId
 Available result identifiers for the correlation or variance-covariance matrix algorithm. More...
 

Detailed Description

Contains classes for computing the correlation or variance-covariance matrix in the distributed processing mode.

For more complete information about compiler optimizations, see our Optimization Notice.