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 getOptionalData
 
def set
 
def check
 
def allocate_{Float64|Float32}
 
- Public Member Functions inherited from Result
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

Constructor & Destructor Documentation

def __init__ (   self)

Member Function Documentation

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

Allocates memory to store the result of model-based training

Parameters
inputPointer to an object containing the input data
methodComputation method for the algorithm
parameterParameter of model-based training
Returns
Status of allocation
Full Names
  • allocate_Float64 is for float64
  • allocate_Float32 is for float32
def check (   self,
  input,
  par,
  method 
)

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 result of model-based training

Parameters
idIdentifier of the result
Returns
Result that corresponds to the given identifier
def getOptionalData (   self,
  id 
)

Returns the result of model-based training

Parameters
idIdentifier of the result
Returns
Result that corresponds to the given identifier
def getSerializationTag (   self)

getSerializationTag(Result self) -> int

def serializationTag ( )
def set (   self,
  args 
)

Variant 1

Sets the result of model-based training

Parameters
idIdentifier of the result
valueResult

Variant 2

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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