Computes correlation or variance-covariance matrix in the online processing mode.
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- Parameters
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| method | Computation method for correlation or variance-covariance matrix, daal.algorithms.covariance.Method |
| fptype | Data type to use in intermediate computations of correlation or variance-covariance matrix, double or float |
- Enumerations
- Method Correlation or variance-covariance matrix computation methods
- InputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm
- PartialResultId Identifiers of partial results of the correlation or variance-covariance matrix algorithm
- ResultId Identifiers of results of the correlation or variance-covariance matrix algorithm
- References
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- Aliases
Online_Float64DefaultDense is an alias of Online(fptype=float64, method=daal.algorithms.covariance.defaultDense)
Online_Float64SinglePassDense is an alias of Online(fptype=float64, method=daal.algorithms.covariance.singlePassDense)
Online_Float64SumDense is an alias of Online(fptype=float64, method=daal.algorithms.covariance.sumDense)
Online_Float64FastCSR is an alias of Online(fptype=float64, method=daal.algorithms.covariance.fastCSR)
Online_Float64SinglePassCSR is an alias of Online(fptype=float64, method=daal.algorithms.covariance.singlePassCSR)
Online_Float64SumCSR is an alias of Online(fptype=float64, method=daal.algorithms.covariance.sumCSR)
Online_Float32DefaultDense is an alias of Online(fptype=float32, method=daal.algorithms.covariance.defaultDense)
Online_Float32SinglePassDense is an alias of Online(fptype=float32, method=daal.algorithms.covariance.singlePassDense)
Online_Float32SumDense is an alias of Online(fptype=float32, method=daal.algorithms.covariance.sumDense)
Online_Float32FastCSR is an alias of Online(fptype=float32, method=daal.algorithms.covariance.fastCSR)
Online_Float32SinglePassCSR is an alias of Online(fptype=float32, method=daal.algorithms.covariance.singlePassCSR)
Online_Float32SumCSR is an alias of Online(fptype=float32, method=daal.algorithms.covariance.sumCSR)
| def __init__ |
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- Variant 1
- Default constructor
- Variant 2
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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| 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 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
Invokes computations and returns partial result
| def finalizeCompute |
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self | ) |
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Finalizes computations and returns (final) result
Returns method of the algorithm
- Returns
- Method of the algorithm
The documentation for this class was generated from the following file: