Computes the correlation or variance-covariance matrix in the batch processing mode.
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◆ Batch() [1/2]
Constructs the correlation or variance-covariance matrix algorithm by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation
- Parameters
-
context | Context to manage the correlation or variance-covariance matrix algorithm |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ Batch() [2/2]
Constructs the correlation or variance-covariance matrix algorithm
- Parameters
-
context | Context to manage the correlation or variance-covariance matrix algorithm |
cls | Data type to use in intermediate computations for correlation or variance-covariance matrix, Double.class or Float.class |
method | Correlation or variance-covariance matrix computation method, Method |
- Template Parameters
-
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 of the correlation or variance-covariance matrix algorithm
- InputId Identifiers of input objects
- ResultId Identifiers of the results
- References
-
◆ clone()
Returns the newly allocated correlation or variance-covariance matrix algorithm with a copy of input objects and parameters of this correlation or variance-covariance matrix algorithm
- Parameters
-
context | Context to manage the correlation or variance-covariance matrix algorithm |
- Returns
- The newly allocated algorithm
The documentation for this class was generated from the following file: