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 >
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- Enumerations
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Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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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 |
services::SharedPtr<Batch<algorithmFPType, method> > clone |
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const |
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inline |
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
virtual int getMethod |
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const |
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Returns method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains computed results of the min-max normalization
- Returns
- Structure that contains computed results of the min-max normalization
services::Status setResult |
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const ResultPtr & |
result | ) |
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inline |
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
The documentation for this class was generated from the following file: