Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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TrainingDistributedStep1Local Class Reference

Algorithm class for training naive Bayes model on the first step in the distributed processing mode. More...

Class Constructor

◆ TrainingDistributedStep1Local() [1/2]

Constructs multinomial naive Bayes training algorithm by copying input objects and parameters of another multinomial naive Bayes training algorithm

Parameters
contextContext to manage the multinomial naive Bayes training
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

◆ TrainingDistributedStep1Local() [2/2]

TrainingDistributedStep1Local ( DaalContext  context,
Class<? extends Number >  cls,
TrainingMethod  method,
long  nClasses 
)

Constructs multinomial naive Bayes training algorithm

Parameters
contextContext to manage the multinomial naive Bayes training
clsData type to use in intermediate computations of the multinomial naive Bayes training on the first step in the distributed processing mode, Double.class or Float.class
methodMultinomial naive Bayes training method, TrainingMethod
nClassesNumber of classes

Detailed Description

References

Member Function Documentation

◆ clone()

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

Parameters
contextContext to manage the multinomial naive Bayes training
Returns
The newly allocated algorithm

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

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