Algorithm class for training naive Bayes model.
More...
template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::multinomial_naive_bayes::training::interface2::Online< algorithmFPType, method >
- Template Parameters
-
algorithmFPType | Data type to use in intermediate computations for multinomial naive Bayes training in the online processing mode, double or float |
method | Computation method, Method |
- Enumerations
- Method Training methods for the multinomial naive Bayes algorithm
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 |
services::SharedPtr<Online<algorithmFPType, method> > clone |
( |
| ) |
const |
|
inline |
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
Get input objects for the multinomial naive Bayes training algorithm
- Returns
- Input objects for the multinomial naive Bayes training algorithm
virtual int getMethod |
( |
| ) |
const |
|
inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
PartialResultPtr getPartialResult |
( |
| ) |
|
|
inline |
Returns the structure that contains computed partial results
- Returns
- Structure that contains computed partial results
Returns the structure that contains results of Naive Bayes training
- Returns
- Structure that contains results of Naive Bayes training
Resets the training results of the classification algorithm
services::Status setResult |
( |
const ResultPtr & |
result | ) |
|
|
inline |
Registers user-allocated memory to store results of Naive Bayes training
- Parameters
-
[in] | result | Structure to store results of Naive Bayes training |
- Returns
- Status of computations
The documentation for this class was generated from the following file: