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

Public Member Functions | List of all members
Result Class Reference

Provides methods to access the result obtained with the compute() method of model-based training. More...

Public Member Functions

def serializationTag
 
def getSerializationTag
 
def __init__
 
def get
 
def set
 
def check
 
def allocate_{Float64|Float32}
 
- Public Member Functions inherited from Result
def serializationTag
 
def getSerializationTag
 
def __init__
 
def get
 
def set
 
def check
 
- Public Member Functions inherited from Result
def __init__
 
def getSerializationTag
 
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

Deprecated:
This item will be removed in a future release.

Constructor & Destructor Documentation

def __init__ (   self)

Member Function Documentation

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

Allocates memory to store final results of the logistic regression training algorithm

Parameters
inputInput of the logistic regression training algorithm
parameterParameters of the algorithm
methodlogistic regression computation method
Returns
Status of allocation
Full Names
  • allocate_Float64 is for float64
  • allocate_Float32 is for float32
def check (   self,
  input,
  par,
  method 
)

s Checks the result of model-based training

Parameters
inputInput object for the algorithm
parParameter of the algorithm
methodComputation method
Returns
Status of checking
def get (   self,
  id 
)

Returns the model trained with the logistic regression algorithm

Parameters
idIdentifier of the result, classifier.training.ResultId
Returns
Model trained with the logistic regression algorithm
def getSerializationTag (   self)

getSerializationTag(Result self) -> int

def serializationTag ( )
def set (   self,
  id,
  value 
)

Sets the result of model-based training

Parameters
idIdentifier of the result
valueResult

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

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