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

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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

DAAL_DEPRECATED 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

DAAL_DEPRECATED 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
DAAL_DEPRECATED InputType* getInput ( )
inline

Get input objects for the BrownBoost training algorithm

Returns
Input objects for the BrownBoost training algorithm
virtual DAAL_DEPRECATED_VIRTUAL int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
DAAL_DEPRECATED ResultPtr getResult ( )
inline

Returns the structure that contains results of BrownBoost training

Returns
Structure that contains results of BrownBoost training
DAAL_DEPRECATED services::Status resetResult ( )
inline

Resets the training results of the classification algorithm

Member Data Documentation

InputType input

Input data structure

ParameterType parameter

Parameters of the algorithm


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

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