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

List of all members
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::interface2::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 ( size_t  numberOfTerms)

Main constructor

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

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

services::Status allocate ( )
inline

Allocates memory buffers needed for the computations

Returns
Status of computations
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
virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
ParameterType& parameter ( )
inline

Gets parameter of the algorithm

Returns
parameter of the algorithm
const ParameterType& parameter ( ) const
inline

Gets parameter of the algorithm

Returns
parameter of the algorithm

Member Data Documentation

InputType input

Input data structure


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

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