C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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Batch< algorithmFPType, method > Class Template Reference

Computes the objective function with precomputed characteristics in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the objective function with precomputed characteristics, double or float
methodThe objective function with precomputed characteristics method
Enumerations
  • ResultId Result identifiers for the precomputed objective function
References
 - \ref objective_function::interface1::Result "objective_function::Result" class

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( )
inline

Main constructor

◆ ~Batch()

virtual ~Batch ( )
inlinevirtual

Destructor

Reimplemented from Batch.

◆ Batch() [2/2]

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

Constructs the objective function with precomputed characteristics algorithm by copying input objects and parameters of another objective function with precomputed characteristics algorithm

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

Member Function Documentation

◆ allocate()

services::Status allocate ( )
inline

Allocates memory buffers needed for the computations

Returns
Status of computations

◆ clone()

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

Returns a pointer to the newly allocated objective function with precomputed characteristics algorithm with a copy of input objects of this objective function with precomputed characteristics algorithm

Returns
Pointer to the newly allocated algorithm

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

Member Data Documentation

◆ input

InputType input

Input data structure

Note
The algorithm does not use the provided input objects

◆ parameter

ParameterType parameter

Parameter data structure

Note
The algorithm does not use the provided parameters

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

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