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

Runs the univariate outlier detection algorithm in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getResult
 
def setResult
 
def clone
 
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 = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the univariate outlier detection algorithm, double or float
methodunivariate outlier detection computation method, daal.algorithms.univariate_outlier_detection.Method
Enumerations
  • Method Computation methods
  • InputId Identifiers of input objects
  • ResultId Identifiers of results
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.univariate_outlier_detection.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.univariate_outlier_detection.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs an algorithm for computing univariate outlier detection by copying input objects and parameters of another algorithm for computing univariate outlier detection

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 algorithm for computing univariate outlier detection with a copy of input objects and parameters of this algorithm for computing univariate outlier detection

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

Invokes computations

def getMethod (   self)

Returns method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns structure that contains computed univariate outlier detection results

Returns
Structure that contains computed univariate outlier detection results
def setResult (   self,
  result 
)

Registers user-allocated memory to store univariate outlier detection results

Parameters
resultStructure to store univariate outlier detection results
Returns
Status of computations

Member Data Documentation

input = ...
static

Input data structure


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

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