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 LogitBoost algorithms in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = friedman>
class daal::algorithms::logitboost::training::interface2::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for LogitBoost, double or float
methodLogitBoost computation method, daal::algorithms::logitboost::training::Method
Enumerations
References
  • Model class
  • classifier::training::Input class

Constructor & Destructor Documentation

Batch ( size_t  nClasses)

Constructs the LogitBoost training algorithm

Parameters
[in]nClassesNumber of classes
Batch ( const Batch< algorithmFPType, method > &  other)

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

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

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

Returns
Pointer to the newly allocated algorithm
InputType* getInput ( )
inline

Get input objects for the LogitBoost training algorithm

Returns
Input objects for the LogitBoost training 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 results of LogitBoost training

Returns
Structure that contains results of LogitBoost 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
services::Status resetResult ( )
inline

Resets the training results of the classification algorithm

Member Data Documentation

InputType input

Input data structure


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

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