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 |
---|---|---|
|
|
The floating-point type that the algorithm uses for intermediate computations. Can be |
|
|
Available computation methods for the Naïve Bayes classifier:
|
|
Not applicable |
The number of classes. A required parameter. |
|
\(1/\text{nClasses}\) |
Vector of size |
|
\(1\) |
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 |
---|---|---|
|
|
The floating-point type that the algorithm uses for intermediate computations. Can be |
|
|
Performance-oriented computation method, the only method supported by the algorithm. |
|
Not applicable |
The number of classes. A required parameter. |