C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

List of all members
Batch< algorithmFPType, method > Class Template Reference

Normalizes datasets in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::normalization::minmax::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the min-max normalization, double or float
methodMin-max normalization computation method, daal::algorithms::normalization::minmax::Method
Enumerations

Constructor & Destructor Documentation

Batch ( )
inline

Default constructor

Batch ( const Batch< algorithmFPType, method > &  other)
inline

Constructs min-max normalization algorithm by copying input objects of another min-max normalization algorithm

Parameters
[in]otherAn algorithm to be used as the source to initialize the input objects of the algorithm

Member Function Documentation

services::SharedPtr<Batch<algorithmFPType, method> > clone ( ) const
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 ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm
ResultPtr getResult ( )
inline

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 ( const ResultPtr &  result)
inline

Registers user-allocated memory to store results of the min-max normalization algorithms

Parameters
[in]resultStructure to store results of the min-max normalization algorithms
Returns
Status of computations

Member Data Documentation

InputType input

input data structure

Parameter<algorithmFPType> parameter

Parameters


The documentation for this class was generated from the following file:

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