Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Public Member Functions | List of all members
Model Class Reference

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__
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Empty constructor for deserialization

Deprecated:
This item will be removed in a future release. Use Model.create instead.

Variant 2

Constructs multinomial naive Bayes model

Parameters
nFeaturesThe number of features
parameterThe multinomial naive Bayes parameter
dummyDummy variable for the templated constructor
Deprecated:
This item will be removed in a future release. Use Model.create instead.

Variant 3

Constructs multinomial naive Bayes model

Parameters
nFeaturesThe number of features
parameterThe multinomial naive Bayes parameter
dummyDummy variable for the templated constructor
Deprecated:
This item will be removed in a future release. Use Model.create instead.
Allowed Types
  • float64
  • float32

Member Function Documentation

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

Returns
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

Returns
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

Returns
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

Returns
Number of features in the dataset was used on the training stage
def getSerializationTag (   self)

getSerializationTag(Model self) -> int

def serializationTag ( )

The documentation for this class was generated from the following file:

For more complete information about compiler optimizations, see our Optimization Notice.