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

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Distributed< step1Local, algorithmFPType, method > Class Template Reference

Algorithm class for training Naive Bayes partial model in the distributed processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method>
class daal::algorithms::multinomial_naive_bayes::training::interface1::Distributed< step1Local, algorithmFPType, method >

Deprecated:
This item will be removed in a future release.
Template Parameters
algorithmFPTypeData type to use in intermediate computations for the multinomial naive Bayes training on the first step in distributed processing mode, double or float
methodNaive Bayes training method, Method
Enumerations
  • Method Training methods for the multinomial naive Bayes on the first step in the distributed processing mode

Constructor & Destructor Documentation

DAAL_DEPRECATED Distributed ( size_t  nClasses)
inline

Default constructor

Parameters
nClassesNumber of classes
DAAL_DEPRECATED Distributed ( const Distributed< step1Local, 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

DAAL_DEPRECATED services::SharedPtr<Distributed<step1Local, 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

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

For more complete information about compiler optimizations, see our Optimization Notice.