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

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Batch< algorithmFPType, method > Class Template Reference

Predicts gradient boosted trees classification results. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the gbt algortithm, double or float
methodgradient boosted trees computation method, Method
Enumerations
References

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( size_t  nClasses)
inline

Constructs gradient boosted trees prediction algorithm

Parameters
[in]nClassesNumber of classes

◆ Batch() [2/2]

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

Constructs a gradient boosted trees prediction algorithm by copying input objects and parameters of another gradient boosted trees prediction algorithm

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

◆ ~Batch()

~Batch ( )
inlinevirtual

Destructor

Reimplemented from Batch.

Member Function Documentation

◆ clone()

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

Returns a pointer to the newly allocated gradient boosted trees prediction algorithm with a copy of input objects and parameters of this gradient boosted trees prediction algorithm

Returns
Pointer to the newly allocated algorithm

◆ getInput()

InputType* getInput ( )
inlinevirtual

Gets input objects for the gradient boosted trees prediction algorithm

Returns
Input objects for the Gradient Boosted Trees prediction algorithm

Implements Batch.

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ parameter() [1/2]

ParameterType& parameter ( )
inline

Gets parameter of the algorithm

Returns
parameter of the algorithm

◆ parameter() [2/2]

const ParameterType& parameter ( ) const
inline

Gets parameter of the algorithm

Returns
parameter of the algorithm

Member Data Documentation

◆ input

InputType input

Input objects of the algorithm


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

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