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

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Batch< algorithmFPType, method > Class Template Reference

Provides methods for Decision tree model-based training in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for Decision tree model-based training, double or float
methodDecision tree training method, Method
Enumerations
References

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( )
inline

Default constructor

◆ Batch() [2/2]

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

Constructs a Decision tree training algorithm by copying input objects and parameters of another Decision tree training algorithm in the batch processing mode

Parameters
[in]otherAlgorithm to use 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 a newly allocated Decision tree training algorithm with a copy of the input objects and parameters for this Decision tree training algorithm in the batch processing mode

Returns
Pointer to the newly allocated algorithm

◆ getInput()

virtual algorithms::regression::training::Input* getInput ( )
inlinevirtual

Get input objects for the regression model-based training algorithm

Returns
Input objects for the regression model-based 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 the result of Decision tree model-based training

Returns
Structure that contains the result of Decision tree model-based training

◆ resetResult()

void resetResult ( )
inline

Resets the results of Decision tree model training algorithm

Member Data Documentation

◆ input

InputType input

Input objects of the algorithm

◆ parameter

ParameterType parameter

Parameters of the algorithm


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

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