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

Public Member Functions | Static Public Attributes | List of all members
interface2_Batch Class Reference

Class that represents a set of quality metrics to check the model trained with the AdaBoost algorithm. More...

Public Member Functions

def __init__
 
def getResultCollection
 
def getInputDataCollection
 
- Public Member Functions inherited from Batch
def getResultCollection
 
def getInputDataCollection
 
def computeNoThrow
 
def compute
 

Static Public Attributes

 parameter = ...
 
- Static Public Attributes inherited from Batch
 inputAlgorithms = ...
 

Detailed Description

Enumerations
  • QualityMetricId Quality metrics provided by the library
References

Constructor & Destructor Documentation

def __init__ (   self,
  nClasses = 2,
  useDefaultMetrics = True 
)

Constructs a quality metric set for the model trained with the AdaBoost algorithm

Parameters
nClassesNumber of classes
useDefaultMetricsFlag. If true, a quality metric set is initialized with the quality metrics provided by the library

Member Function Documentation

def getInputDataCollection (   self)

Returns the collection of input objects for the quality metrics algorithm

Returns
Collection of input objects for the quality metrics algorithm
def getResultCollection (   self)

Returns the structure that contains a computed quality metric set

Returns
Structure that contains a computed quality metric set

Member Data Documentation

parameter = ...
static

Parameters of the algorithm


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

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