C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
Classes | |
class | BatchContainerIface |
Class that specifies interfaces of implementations of the correlation or variance-covariance matrix container. This class is associated with daal::algorithms::covariance::BatchContainerIface class. More... | |
class | BatchContainer |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm. This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, defaultDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using default computation method This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, singlePassDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using single-pass computation method This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, sumDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using precomputed sum computation method This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, fastCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using fast computation method that works with Compressed Sparse Rows (CSR) numeric tables This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, singlePassCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using single-pass computation method that works with Compressed Sparse Rows (CSR) numeric tables This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchContainer< algorithmFPType, sumCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using precomputed sum computation method that works with Compressed Sparse Rows (CSR) numeric tables This class is associated with daal::algorithms::covariance::Batch class. More... | |
class | BatchImpl |
Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the batch processing mode. More... | |
class | Batch |
Computes correlation or variance-covariance matrix in the batch processing mode. More... | |
class | DistributedContainerIface |
Class that spcifies interfaces of the correlation or variance-covariance matrix algorithm. This class is associated with daal::algorithms::covariance::DistributedIface class. More... | |
class | DistributedContainerIface< step2Master > |
Class that spcifies interfaces of the correlation or variance-covariance matrix algorithm on master node. This class is associated with daal::algorithms::covariance::DistributedIface class. More... | |
class | DistributedContainer |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm in the distributed processing mode. This class is associated with daal::algorithms::covariance::Distributed class. More... | |
class | DistributedContainer< step2Master, algorithmFPType, method, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm in the distributed processing mode on master node. More... | |
class | DistributedIface |
Interface for the correlation or variance-covariance matrix algorithm in the distributed processing mode. More... | |
class | DistributedIface< step1Local > |
Interface for correlation or variance-covariance matrix computation algorithms in the distributed processing mode on local nodes. More... | |
class | DistributedIface< step2Master > |
Interface for correlation or variance-covariance matrix computation algorithms in the distributed processing mode on master node. More... | |
class | Distributed |
Computes correlation or variance-covariance matrix in the distributed processing mode. More... | |
class | Distributed< step1Local, algorithmFPType, method > |
Computes correlation or variance-covariance matrix in the first step of the distributed processing mode. More... | |
class | Distributed< step2Master, algorithmFPType, method > |
Computes correlation or variance-covariance matrix in the second step of the distributed processing mode. More... | |
class | OnlineContainerIface |
Class that spcifies interfaces of implementations of the correlation or variance-covariance matrix algorithm. This class is associated with daal::algorithms::covariance::OnlineImpl class. More... | |
class | OnlineContainer |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, defaultDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using default computation method. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, singlePassDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using single-pass computation method. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, sumDense, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using sum computation method. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, fastCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using fast computation method that works with Compressed Sparse Rows (CSR) numeric tables. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, singlePassCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using single-pass computation method that works with Compressed Sparse Rows (CSR) numeric tables. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineContainer< algorithmFPType, sumCSR, cpu > |
Provides methods to run implementations of the correlation or variance-covariance matrix algorithm using precomputed sum computation method that works with Compressed Sparse Rows (CSR) numeric tables. This class is associated with daal::algorithms::covariance::Online class. More... | |
class | OnlineImpl |
Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the online processing mode. More... | |
class | Online |
Computes correlation or variance-covariance matrix in the online processing mode. More... | |
class | InputIface |
Abstract class that specifies interface for classes that declare input of the correlation or variance-covariance matrix algorithm. More... | |
class | Input |
Input objects 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... | |
struct | Parameter |
Parameters of the correlation or variance-covariance matrix algorithm. More... | |
struct | OnlineParameter |
Parameters of the correlation or variance-covariance matrix algorithm in the online processing mode. More... | |
class | Result |
Provides methods to access final results obtained with the compute() method of the correlation or variance-covariance matrix algorithm in the batch processing mode. More... | |
class | DistributedInput |
Input parameters of the distributed Covariance algorithm. More... | |
class | DistributedInput< step1Local > |
Input parameters of the distributed Covariance algorithm. Represents inputs of the algorithm on local node. More... | |
class | DistributedInput< step2Master > |
Input parameters of the distributed Covariance algorithm. Represents inputs of the algorithm on master node. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.