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

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Batch< algorithmFPType, method > Class Template Reference

Predicts decision_forest classification results. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::decision_forest::classification::prediction::interface3::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the decision_forest algortithm, double or float
methoddecision_forest computation method, Method
Enumerations
References

Constructor & Destructor Documentation

Batch ( size_t  nClasses)

Constructs Decision forest prediction algorithm

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

Constructs a Decision forest prediction algorithm by copying input objects and parameters of another Decision forest prediction 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 Decision forest prediction algorithm with a copy of input objects and parameters of this Decision forest prediction algorithm

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

Get input objects for the Decision forest prediction algorithm

Returns
Input objects for the Decision forest prediction algorithm
virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm
ParameterType& parameter ( )
inline

Gets parameter objects for the Decision forest model prediction algorithm

Returns
Parameter objects for the Decision forest model prediction algorithm
const ParameterType& parameter ( ) const
inline

Gets parameter of the algorithm

Returns
parameter of the algorithm

Member Data Documentation

InputType input

Input objects of the algorithm


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

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