Batch Processing
Naïve Bayes classifier in the batch processing mode follows the general workflow described
in Classification Usage Model.
Training
At the training stage, Naïve Bayes classifier has the following parameters:
Parameter | Default Value | Description |
|---|---|---|
algorithmFPType | float | The floating-point type that the algorithm uses for intermediate computations. Can be float or double . |
method | defaultDense | Available computation methods for the Naïve Bayes classifier:
|
nClasses | Not applicable | The number of classes. A required parameter. |
priorClassEstimates |  | Vector of size nClasses that contains prior class estimates. The default value applies to each vector element. |
alpha | 1 | Vector of size p that contains the imagined occurrences of features. The default value applies to each vector element. |
Prediction
At the prediction stage, Naïve Bayes classifier has the following parameters:
Parameter | Default Value | Description |
|---|---|---|
algorithmFPType | float | The floating-point type that the algorithm uses for intermediate computations. Can be float or double . |
method | defaultDense | Performance-oriented computation method, the only method supported by the algorithm. |
nClasses | Not applicable | The number of classes. A required parameter. |