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

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

Computes the confusion matrix for a multi-class classifier in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getResult
 
def setResult
 
def setInput
 
def clone
 
def compute
 
- Public Member Functions inherited from Batch
def setInput
 
def getResult
 
def compute
 
- Public Member Functions inherited from AlgorithmImpl
def computeNoThrow
 
def compute
 
def checkComputeParams
 
def checkResult
 
def setupCompute
 
def resetCompute
 
def enableResetOnCompute
 
def hostApp
 
def setHostApp
 
- Public Member Functions inherited from Algorithm
def checkComputeParams
 
def getBaseParameter
 
- Public Member Functions inherited from AlgorithmIfaceImpl
def enableChecks
 
def isChecksEnabled
 
- Public Member Functions inherited from AlgorithmIface
def checkComputeParams
 
def checkResult
 
def getMethod
 

Static Public Attributes

 input = ...
 
 parameter = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations of the multi-class confusion matrix, double or float
methodMethod for computing the multi-class confusion matrix, Method
Enumerations
  • Method Method for computing the multi-class confusion matrix
  • InputId Identifiers of input objects for the multi-class confusion matrix algorithm
  • ResultId Result identifiers for the multi-class confusion matrix algorithm
  • MultiClassMetricsId Identifiers of resulting metrics associated with the multi-class confusion matrix
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.classifier.quality_metric.multiclass_confusion_matrix.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.classifier.quality_metric.multiclass_confusion_matrix.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Default constructor

Parameters
nClassesNumber of classes

Variant 2

Default constructor

Parameters
nClassesNumber of classes

Variant 3

Constructs a confusion matrix algorithm by copying input objects and parameters of another confusion matrix algorithm

Parameters
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

def clone (   self)

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

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

Invokes computations

def getMethod (   self)

Returns the method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns the structure that contains results of the multi-class confusion matrix algorithm

Returns
Structure that contains results of the multi-class confusion matrix algorithm
def setInput (   self,
  other 
)

Registers user-allocated memory to store input of the multi-class confusion matrix algorithm

Parameters
otherStructure to store results of the multi-class confusion matrix algorithm
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of the multi-class confusion matrix algorithm

Parameters
resultStructure to store results of the multi-class confusion matrix algorithm

Member Data Documentation

input = ...
static

Input objects of the algorithm

parameter = ...
static

Parameters of the algorithm


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

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