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

Parameter for the computation of initial values for the EM for GMM algorithm More...

Public Member Functions

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

Static Public Attributes

 nComponents = ...
 
 nTrials = ...
 
 nIterations = ...
 
 seed = ...
 
 accuracyThreshold = ...
 
 covarianceStorage = ...
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Constructs parameters of the EM for GMM algorithm

Parameters
nComponentsNumber of components in the Gaussian mixture model
nTrialsNumber of trials of short EM runs
nIterationsNumber of iterations in every short EM run
seedSeed for randomly generating data points to start the initialization of short EM
accuracyThresholdThreshold for the termination of the algorithm
covarianceStorageType of covariance in the Gaussian mixture model

Member Function Documentation

def check (   self)

Checks the correctness of the parameter

Member Data Documentation

accuracyThreshold = ...
static

Threshold for the termination of the algorithm

covarianceStorage = ...
static

Type of covariance in the Gaussian mixture model.

nComponents = ...
static

Number of components in the Gaussian mixture model

nIterations = ...
static

Number of iterations in every short EM run

nTrials = ...
static

Number of trials of short EM runs

seed = ...
static

Seed for randomly generating data points to start the initialization of short EM


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

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