Interface for correlation or variance-covariance matrix computation algorithms in the distributed processing mode on master node.
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template<>
class daal::algorithms::covariance::interface1::DistributedIface< step2Master >
- Template Parameters
-
step | Step of distributed processing, ComputeStep |
algorithmFPType | Data type to use in intermediate computations of the correlation or variance-covariance matrix, double or float |
method | Computation method, daal::algorithms::covariance::Method |
- Enumerations
- Method Computation methods for correlation or variance-covariance matrix
- InputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm
- MasterInputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm on master node
- PartialResultId Identifiers of partial results for the correlation or variance-covariance matrix algorithm
- ResultId Identifiers of final results of the correlation or variance-covariance matrix algorithm
- References
-
◆ DistributedIface() [1/2]
◆ DistributedIface() [2/2]
Constructs an algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on master node by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation
- Parameters
-
[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ checkFinalizeComputeParams()
◆ clone()
Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on master node with a copy of input objects and parameters of this algorithm for correlation or variance-covariance matrix computation
- Returns
- Pointer to the newly allocated algorithm
◆ getPartialResult()
Returns the structure that contains computed partial results of the correlation or variance-covariance matrix algorithm
- Returns
- Structure that contains partial results
◆ getResult()
Returns the structure that contains final results of the correlation or variance-covariance matrix algorithm
- Returns
- Structure that contains final results
◆ setPartialResult()
Registers user-allocated memory to store partial results of the correlation or variance-covariance matrix algorithm
- Parameters
-
[in] | partialResult | Structure to store partial results |
[in] | initFlag | Flag that specifies whether the partial results are initialized |
◆ setResult()
Registers user-allocated memory to store final results of the correlation or variance-covariance matrix algorithm
- Parameters
-
[in] | result | Structure to store the results |
◆ input
◆ parameter
Parameters of the algorithm
The documentation for this class was generated from the following file: