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

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Batch< algorithmFPType, method > Class Template Reference

Trains the decision stump model. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the the decision stump training method, double or float
methodDecision stump training method, Method
Enumerations
References

Constructor & Destructor Documentation

◆ Batch()

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

Constructs decision stump training algorithm by copying input objects of another decision stump 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 decision stump training algorithm with a copy of input objects and parameters of this decision stump training algorithm

Returns
Pointer to the newly allocated algorithm

◆ getInput()

InputType* getInput ( )
inlinevirtual

Get input objects for the stump training algorithm

Returns
Input objects for the stump training algorithm

Implements Batch.

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getResult()

training::ResultPtr getResult ( )
inline

Returns the structure that contains computed results of the decision stump training algorithm

Returns
Structure that contains computed results of the decision stump training algorithm

◆ 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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