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

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Batch< algorithmFPType, method > Class Template Reference

Computes the Mean squared error objective function in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the Mean squared error objective function, double or float
methodThe Mean squared error objective function computation method
Enumerations
  • Method Computation methods for the Mean squared error objective function
  • InputId Identifiers of input objects for the Mean squared error objective function
  • objective_function::ResultId Result identifiers for the Mean squared error objective function
References

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( size_t  numberOfTerms)
inline

Main constructor

◆ ~Batch()

virtual ~Batch ( )
inlinevirtual

Destructor

Reimplemented from Batch.

◆ Batch() [2/2]

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

Constructs an the Mean squared error objective function algorithm by copying input objects and parameters of another the Mean squared error objective function 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 the Mean squared error objective function algorithm with a copy of input objects of this the Mean squared error objective function 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

◆ parameter

ParameterType parameter

Parameter data structure


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

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