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

Public Member Functions | Static Public Attributes | List of all members
Online Class Reference

Algorithm class for training the classifier model in the online processing mode. More...

Public Member Functions

def setPartialResult
 
def setResult
 
def getPartialResult
 
def getResult
 
def clone
 
def compute
 
def finalizeCompute
 

Static Public Attributes

 input = ...
 

Detailed Description

Deprecated:
This item will be removed in a future release.
Enumerations
  • InputId Input objects of the classifier model training algorithm
  • ResultId Results of the classifier model training algorithm
References

Member Function Documentation

def clone (   self)

Returns a pointer to the newly allocated classifier training algorithm with a copy of input objects and parameters of this classifier training algorithm

Returns
Pointer to the newly allocated algorithm
def compute (   self)

Invokes computations and returns partial result

def finalizeCompute (   self)

Finalizes computations and returns (final) result

def getPartialResult (   self)

Returns the structure that contains computed partial results of the classification algorithm

Returns
Structure that contains computed partial results
def getResult (   self)

Returns the structure that contains results of the classification algorithm

Returns
Structure that contains computed results
def setPartialResult (   self,
  partialResult,
  initFlag = False 
)

Registers user-allocated memory for storing partial training results

Parameters
partialResultStructure for storing partial results
initFlagFlag if partial result initialized or not
def setResult (   self,
  res 
)

Registers user-allocated memory for storing results of the classifier model training algorithm

Parameters
resStructure for storing results of the classifier model training algorithm

Member Data Documentation

input = ...
static

Input objects of the algorithm


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

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