Computes correlation or variance-covariance matrix in the first step of the distributed processing mode.
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template<typename algorithmFPType, Method method>
class daal::algorithms::covariance::interface1::Distributed< step1Local, algorithmFPType, method >
- 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
-
Constructs an algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on local 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 |
Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on local 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
The documentation for this class was generated from the following file: