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

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Batch< algorithmFPType, method > Class Template Reference

Provides methods for model-based training in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::gbt::regression::training::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for model-based training, double or float
methodgradient boosted trees training method, Method
Enumerations
References

Constructor & Destructor Documentation

Batch ( )

Default constructor

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

Constructs a gradient boosted trees training algorithm by copying input objects and parameters of another gradient boosted trees training algorithm in the batch processing mode

Parameters
[in]otherAlgorithm to use as the source to initialize the input objects and parameters of the algorithm
~Batch ( )
inline

Destructor

Member Function Documentation

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

Returns a pointer to a newly allocated gradient boosted trees training algorithm with a copy of the input objects and parameters for this gradient boosted trees training algorithm in the batch processing mode

Returns
Pointer to the newly allocated algorithm
virtual algorithms::regression::training::Input* getInput ( )
inlinevirtual

Get input objects for the algorithm

Returns
input objects of the algorithm
virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
ResultPtr getResult ( )
inline

Returns the structure that contains the result of model-based training

Returns
Structure that contains the result of model-based training
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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