Normalizes datasets in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::normalization::zscore::interface2::Batch< algorithmFPType, method >
- Template Parameters
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- Enumerations
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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 z-score normalization algorithm by copying input objects of another z-score normalization algorithm
- Parameters
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[in] | other | An algorithm to be used as the source to initialize the input objects of the algorithm |
◆ clone()
Returns a pointer to the newly allocated z-score normalization algorithm with a copy of input objects of this z-score normalization algorithm
- 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.
◆ getParameter()
Returns the pointer to parameter
- Returns
- Pointer to parameter
Implements BatchImpl.
The documentation for this class was generated from the following file: