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

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Online< algorithmFPType, method > Class Template Reference

Algorithm class for training naive Bayes model. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations for multinomial naive Bayes training in the online processing mode, double or float
methodComputation method, Method
Enumerations
  • Method Training methods for the multinomial naive Bayes algorithm

Constructor & Destructor Documentation

◆ Online() [1/2]

Online ( size_t  nClasses)
inline

Default constructor

Parameters
nClassesNumber of classes

◆ Online() [2/2]

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

Constructs multinomial naive Bayes training algorithm by copying input objects and parameters of another multinomial naive Bayes 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<Online<algorithmFPType, method> > clone ( ) const
inline

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

Returns
Pointer to the newly allocated algorithm

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getPartialResult()

PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains computed partial results

Returns
Structure that contains computed partial results

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains results of Naive Bayes training

Returns
Structure that contains results of Naive Bayes training

◆ resetResult()

void resetResult ( )
inline

Resets the training results of the classification algorithm

◆ setResult()

services::Status setResult ( const ResultPtr result)
inline

Registers user-allocated memory to store results of Naive Bayes training

Parameters
[in]resultStructure to store results of Naive Bayes training
Returns
Status of computations

Member Data Documentation

◆ parameter

ParameterType parameter

Parameters of the training


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

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