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::minmax::interface1::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 min-max normalization algorithm by copying input objects of another min-max 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 min-max normalization algorithm with a copy of input objects of this min-max 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.
◆ getResult()
Returns the structure that contains computed results of the min-max normalization
- Returns
- Structure that contains computed results of the min-max normalization
◆ setResult()
Registers user-allocated memory to store results of the min-max normalization algorithms
- Parameters
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[in] | result | Structure to store results of the min-max normalization algorithms |
- Returns
- Status of computations
◆ input
◆ parameter
The documentation for this class was generated from the following file: