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 initial values for the EM for GMM algorithm in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def setResult
 
def getResult
 
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 = ...
 
 parameter = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations of initial values for the EM for GMM algorithm, double or float
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.em_gmm.init.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.em_gmm.init.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Constructs an algorithm that computes initial values for the EM for GMM algorithm by copying input objects and parameters of another algorithm that computes initial values for the EM for GMM 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 algorithm that computes initial values for the EM for GMM algorithm with a copy of input objects of this 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 initial values for the EM for GMM algorithm

Returns
Structure that contains initial values for the EM for GMM algorithm
def setResult (   self,
  result 
)

Sets the memory for storing initial values for results of the EM for GMM algorithm

Parameters
resultStructure for storing initial values for results of the EM for GMM algorithm

Member Data Documentation

input = ...
static

Input data structure

parameter = ...
static

Parameter data structure


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

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