Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Multinomial naive Bayes model. More...
Public Member Functions | |
| def | serializationTag |
| def | getSerializationTag |
| def | downCast |
| def | getLogP |
| def | getLogTheta |
| def | getAuxTable |
| def | getNumberOfFeatures |
| def | __init__ |
Public Member Functions inherited from Model | |
| def | getNFeatures |
| def | getNumberOfFeatures |
| def | setNFeatures |
Public Member Functions inherited from Model | |
| def | __init__ |
| def | getSerializationTag |
Public Member Functions inherited from SerializationIface | |
| def | serialize |
| def | deserialize |
| def | getSerializationTag |
Public Member Functions inherited from Base | |
| def | __init__ |
| def __init__ | ( | self, | |
| args | |||
| ) |
Empty constructor for deserialization
Constructs multinomial naive Bayes model
| nFeatures | The number of features |
| parameter | The multinomial naive Bayes parameter |
| dummy | Dummy variable for the templated constructor |
float64float32 | def downCast | ( | r | ) |
downCast(daal.services.SharedPtr< daal.algorithms.classifier.Model > const & r) -> daal.services.SharedPtr< daal.algorithms.multinomial_naive_bayes.Model >
| def getAuxTable | ( | self | ) |
Returns a pointer to the Numeric Table with logarithms of the conditional probabilities
| def getLogP | ( | self | ) |
Returns a pointer to the Numeric Table with logarithms of priors
| def getLogTheta | ( | self | ) |
Returns a pointer to the Numeric Table with logarithms of the conditional probabilities
| def getNumberOfFeatures | ( | self | ) |
Retrieves the number of features in the dataset was used on the training stage
| def getSerializationTag | ( | self | ) |
getSerializationTag(Model self) -> int
| def serializationTag | ( | ) |
serializationTag() -> int
For more complete information about compiler optimizations, see our Optimization Notice.