Online Processing
You can use the Naïve Bayes classifier algorithm in the online processing mode only at the training stage.
This computation mode assumes that the data arrives in blocks 
.
.Training
Naïve Bayes classifier training in the online processing mode follows the general workflow described in Classification Usage Model.
Naïve Bayes classifier in the online processing mode accepts the input described below.
Pass the
Input ID
as a parameter to the methods that provide input for your algorithm.
For more details, see Algorithms.Input ID | Input |
|---|---|
data | Pointer to the  numeric table that represents the current data block. |
labels | Pointer to the  numeric table with class labels associated with the current data block. |
These tables can be objects of any class derived from
NumericTable
.Naïve Bayes classifier in the online processing mode 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. |
For a description of the output, refer to Classification Usage Model.