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

List of all members
Batch< algorithmFPType, method > Class Template Reference

Provides methods to run implementations of the Decision tree model-based prediction. More...

Class Declaration

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

Deprecated:
This item will be removed in a future release.
Template Parameters
algorithmFPTypeData type to use in intermediate computations for Decision tree model-based prediction in the batch processing mode, double or float
methodComputation method in the batch processing mode, Method
Enumerations
  • Method Computation methods for Decision tree model-based prediction
References

Constructor & Destructor Documentation

DAAL_DEPRECATED Batch ( )
inline

Default constructor

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

Constructs a Decision tree prediction algorithm by copying input objects and parameters of another Decision tree prediction algorithm

Parameters
[in]otherAlgorithm to use 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 Decision tree prediction algorithm with a copy of input objects of this Decision tree prediction algorithm

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

Get input objects for the Decision tree prediction algorithm

Returns
Input objects for the Decision tree prediction algorithm

Implements Batch.

virtual DAAL_DEPRECATED_VIRTUAL int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm

Member Data Documentation

InputType input

Input data structure

ParameterType parameter

Parameters of prediction


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

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