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

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

AdaBoost algorithm parameters. More...

Public Member Functions

def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 

Static Public Attributes

 accuracyThreshold = ...
 
 maxIterations = ...
 
- Static Public Attributes inherited from Parameter
 weakLearnerTraining = ...
 
 weakLearnerPrediction = ...
 
- Static Public Attributes inherited from Parameter
 nClasses = ...
 

Detailed Description

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

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs the AdaBoost parameter structure

Parameters
wlTrainForParameterPointer to the training algorithm of the weak learner
wlPredictForParameterPointer to the prediction algorithm of the weak learner
accAccuracy of the AdaBoost training algorithm
maxIterMaximal number of iterations of the AdaBoost training algorithm

Variant 3

Constructs the AdaBoost parameter structure

Parameters
wlTrainForParameterPointer to the training algorithm of the weak learner
wlPredictForParameterPointer to the prediction algorithm of the weak learner
accAccuracy of the AdaBoost training algorithm
maxIterMaximal number of iterations of the AdaBoost training algorithm

Variant 4

Constructs the AdaBoost parameter structure

Parameters
wlTrainForParameterPointer to the training algorithm of the weak learner
wlPredictForParameterPointer to the prediction algorithm of the weak learner
accAccuracy of the AdaBoost training algorithm
maxIterMaximal number of iterations of the AdaBoost training algorithm

Member Function Documentation

def check (   self)

check(Parameter self) -> Status

Member Data Documentation

accuracyThreshold = ...
static

Accuracy of the AdaBoost training algorithm

maxIterations = ...
static

Maximal number of iterations of the AdaBoost training algorithm


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

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