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

Public Member Functions | Static Public Attributes | List of all members
DistributedStep2LocalPlusPlusParameter Class Reference

Parameters for computing initial centroids for K-Means algorithm. More...

Public Member Functions

def __init__
 
def check
 
- Public Member Functions inherited from interface1_Parameter
def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 

Static Public Attributes

 firstIteration = ...
 
 outputForStep5Required = ...
 
- Static Public Attributes inherited from interface1_Parameter
 nClusters = ...
 
 nRowsTotal = ...
 
 offset = ...
 
 seed = ...
 
 L = nClusters*oversamplingFactorpointsaresampledinaround.
 
 nRounds = ...
 
 engine = ...
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Main constructor


Variant 2

Constructs parameters of the algorithm that computes initial centroids for K-Means algorithm by copying another parameters object

Parameters
otherParameters of K-Means algorithm

Member Function Documentation

def check (   self)

check(DistributedStep2LocalPlusPlusParameter self) -> Status

Member Data Documentation

firstIteration = ...
static

True if step2 is called for the first time

outputForStep5Required = ...
static

True if the last iteration of parallelPlus algorithm processing is performed


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

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