Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Algorithm class for training naive Bayes model on the first step in the distributed processing mode. More...
| TrainingDistributedStep1Local | ( | DaalContext | context, |
| TrainingDistributedStep1Local | other | ||
| ) |
Constructs multinomial naive Bayes training algorithm by copying input objects and parameters of another multinomial naive Bayes training algorithm
| context | Context to manage the multinomial naive Bayes training |
| other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
| TrainingDistributedStep1Local | ( | DaalContext | context, |
| Class<?extends Number > | cls, | ||
| TrainingMethod | method, | ||
| long | nClasses | ||
| ) |
Constructs multinomial naive Bayes training algorithm
| context | Context to manage the multinomial naive Bayes training |
| cls | Data 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 |
| method | Multinomial naive Bayes training method, TrainingMethod |
| nClasses | Number of classes |
| TrainingDistributedStep1Local clone | ( | DaalContext | context | ) |
Returns the newly allocated multinomial naive Bayes training algorithm with a copy of input objects and parameters of this multinomial naive Bayes training algorithm
| context | Context to manage the multinomial naive Bayes training |
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