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

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

Provides methods to run implementations of the min-max normalization algorithm. It is associated with the daal::algorithms::normalization::minmax::Batch class and supports methods of min-max normalization computation in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method, CpuType cpu>
class daal::algorithms::normalization::minmax::interface1::BatchContainer< algorithmFPType, method, cpu >

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

Constructor & Destructor Documentation

BatchContainer ( daal::services::Environment::env *  daalEnv)

Constructs a container for the min-max normalization algorithm with a specified environment in the batch processing mode

Parameters
[in]daalEnvEnvironment object

Member Function Documentation

virtual services::Status compute ( )
virtual

Computes the result of the min-max normalization algorithm in the batch processing mode

Returns
Status of computations

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

For more complete information about compiler optimizations, see our Optimization Notice.