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

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Batch< algorithmFPType, method > Class Template Reference

Trains model of the BrownBoost algorithms in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for BrownBoost, double or float
methodBrownBoost computation method, daal::algorithms::brownboost::training::Method
Enumerations
References

Constructor & Destructor Documentation

◆ Batch()

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

Constructs a BrownBoost training algorithm by copying input objects and parameters of another BrownBoost training algorithm

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

Member Function Documentation

◆ clone()

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

Returns a pointer to the newly allocated BrownBoost training algorithm with a copy of input objects and parameters of this BrownBoost training algorithm

Returns
Pointer to the newly allocated algorithm

◆ getInput()

InputType* getInput ( )
inlinevirtual

Get input objects for the BrownBoost training algorithm

Returns
Input objects for the BrownBoost training algorithm

Implements Batch.

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains results of BrownBoost training

Returns
Structure that contains results of BrownBoost training

◆ resetResult()

services::Status resetResult ( )
inlinevirtual

Resets the training results of the classification algorithm

Implements Batch.

Member Data Documentation

◆ input

InputType input

Input data structure

◆ parameter

ParameterType parameter

Parameters of the algorithm


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

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