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

Public Member Functions | List of all members
PartialModel Class Reference

PartialModel represents partial multinomial naive Bayes model. More...

Public Member Functions

def serializationTag
 
def getSerializationTag
 
def getNObservations
 
def setNObservations
 
def getNumberOfFeatures
 
def getNFeatures
 
def setNFeatures
 
def getClassSize
 
def getClassGroupSum
 
def __init__
 
def initialize_{Float64|Float32}
 
- 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 PartialModel.create instead.

Variant 2

Constructs multinomial naive Bayes partial model

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

Variant 3

Constructs multinomial naive Bayes partial model

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

Member Function Documentation

def getClassGroupSum (   self)

getClassGroupSum(PartialModel self) -> daal.data_management.NumericTablePtr

def getClassSize (   self)

getClassSize(PartialModel self) -> daal.data_management.NumericTablePtr

def getNFeatures (   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 getNObservations (   self)

getNObservations(PartialModel self) -> size_t

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(PartialModel self) -> int

def initialize_{Float64|Float32} (   self)

initialize_{Float64|Float32}(PartialModel self) -> Status

Full Names
  • initialize_Float64 is for float64
  • initialize_Float32 is for float32
def serializationTag ( )
def setNFeatures (   self,
  nFeatures 
)

Sets the number of features in the dataset was used on the training stage

Parameters
nFeaturesNumber of features in the dataset was used on the training stage
def setNObservations (   self,
  nObservations 
)

setNObservations(PartialModel self, size_t nObservations)


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

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