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

Public Member Functions | List of all members
PartialResult Class Reference

Provides methods to access partial results obtained with the compute() method of the naive Bayes training algorithm in the online or distributed processing. More...

Public Member Functions

def serializationTag
 
def getSerializationTag
 
def __init__
 
def get
 
def getNumberOfFeatures
 
def check
 
def allocate_{Float64|Float32}
 
def initialize_{Float64|Float32}
 
- Public Member Functions inherited from PartialResult
def serializationTag
 
def getSerializationTag
 
def __init__
 
def get
 
def set
 
def check
 
- Public Member Functions inherited from PartialResult
def __init__
 
def getSerializationTag
 
def getInitFlag
 
def setInitFlag
 
def check
 
- Public Member Functions inherited from SerializationIface
def serialize
 
def deserialize
 
def getSerializationTag
 
- Public Member Functions inherited from Base
def __init__
 
- Public Member Functions inherited from Argument
def __init__
 
def __lshift__
 
def size
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self)

Member Function Documentation

def allocate_{Float64|Float32} (   self,
  input,
  parameter,
  method 
)

Allocates memory for storing partial results of the naive Bayes training algorithm

Parameters
inputPointer to input object
parameterPointer to parameter
methodComputation method
Returns
Status of computations
Full Names
  • allocate_Float64 is for float64
  • allocate_Float32 is for float32
def check (   self,
  args 
)

Variant 1

Checks partial result of the naive Bayes training algorithm

Parameters
inputAlgorithm input object
parameterAlgorithm parameter
methodComputation method
Returns
Status of computations

Variant 2

Checks partial result of the naive Bayes training algorithm

Parameters
parameterAlgorithm parameter
methodComputation method
Returns
Status of computations
def get (   self,
  id 
)

Returns the partial model trained with the classification algorithm

Parameters
idIdentifier of the partial model, classifier.training.PartialResultId
Returns
Model trained with the classification algorithm
def getNumberOfFeatures (   self)

Returns number of columns in the naive Bayes partial result

Returns
Number of columns in the partial result
def getSerializationTag (   self)

getSerializationTag(PartialResult self) -> int

def initialize_{Float64|Float32} (   self,
  input,
  parameter,
  method 
)

Initializes memory for storing partial results of the naive Bayes training algorithm

Parameters
inputPointer to input object
parameterPointer to parameter
methodComputation method
Returns
Status of initialization
Full Names
  • initialize_Float64 is for float64
  • initialize_Float32 is for float32
def serializationTag ( )

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

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