C++ API Reference for Intel® Data Analytics Acceleration Library 2019
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
Classes | |
| class | Batch |
| Computes correlation or variance-covariance matrix in the batch processing mode. 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, 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, 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, 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 | 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 | 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 | BatchImpl |
| Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the batch processing mode. 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 | 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 | 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 | 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 | 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... | |
| class | Input |
| Input objects of the correlation or variance-covariance matrix algorithm More... | |
| class | InputIface |
| Abstract class that specifies interface for classes that declare input of the correlation or variance-covariance matrix algorithm. More... | |
| class | Online |
| Computes correlation or variance-covariance matrix in the online processing mode. 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, 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, 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, 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 | 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 | 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 | OnlineImpl |
| Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the online processing mode. More... | |
| struct | OnlineParameter |
| Parameters of the correlation or variance-covariance matrix algorithm in the online processing mode. More... | |
| struct | 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 | 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... | |
For more complete information about compiler optimizations, see our Optimization Notice.