Algorithm class for training Naive Bayes partial model in the distributed processing mode.
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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
-
algorithmFPType | Data type to use in intermediate computations for the multinomial naive Bayes training on the first step in distributed processing mode, double or float |
method | Naive Bayes training method, Method |
- Enumerations
- Method Training methods for the multinomial naive Bayes on the first step in the distributed processing mode
Default constructor
- Parameters
-
nClasses | Number of classes |
Constructs multinomial naive Bayes training algorithm by copying input objects and parameters of another multinomial naive Bayes training algorithm
- Parameters
-
[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
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: