Abstract class that specifies interface of the algorithms for computing multivariate outlier detection in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::multivariate_outlier_detection::interface1::Batch< algorithmFPType, method >
- Template Parameters
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- Enumerations
- Method Computation methods for the multivariate outlier detection
- InputId Identifiers of input objects for the multivariate outlier detection
- ResultId Identifiers of the results of the multivariate outlier detection algorithm
- References
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◆ Batch() [1/2]
◆ Batch() [2/2]
Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs an algorithm for computing multivariate outlier detection by copying input objects and parameters of another algorithm for computing multivariate outlier detection
- 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 |
◆ clone()
Returns a pointer to the newly allocated algorithm for computing multivariate outlier detection with a copy of input objects and parameters of this algorithm for computing multivariate outlier detection
- Returns
- Pointer to the newly allocated algorithm
◆ getMethod()
virtual int getMethod |
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const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
Implements AlgorithmIface.
◆ getResult()
Returns the structure that contains the results of the multivariate outlier detection
- Returns
- Structure that contains the results of the multivariate outlier detection algorithm
◆ setResult()
Registers user-allocated memory to store the results of the multivariate outlier detection algorithm
- Parameters
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[in] | result | Structure for storing the results of the multivariate outlier detection algorithm |
- Returns
- Status of computations
◆ input
The documentation for this class was generated from the following file: