Computes correlation or variance-covariance matrix in the distributed processing mode.
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template<ComputeStep step, typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::covariance::interface1::Distributed< step, algorithmFPType, method >
- Template Parameters
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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
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The documentation for this class was generated from the following file: