Computes correlation or variance-covariance matrix in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::covariance::interface1::Batch< algorithmFPType, method >
- Template Parameters
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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
- ResultId Identifiers of results of the correlation or variance-covariance matrix algorithm
- References
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Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs an algorithm for correlation or variance-covariance matrix computation by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation
- Parameters
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[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
services::SharedPtr<Batch<algorithmFPType, method> > clone |
( |
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const |
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inline |
Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation 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
virtual int getMethod |
( |
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const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
The documentation for this class was generated from the following file: