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

Parameters for K-Means algorithm. More...

Public Member Functions

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

Static Public Attributes

 nClusters = ...
 
 maxIterations = ...
 
 accuracyThreshold = ...
 
 gamma = ...
 
 distanceType = ...
 
 assignFlag = ...
 

Detailed Description

Enumerations
  • DistanceType Methods for distance computation

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Constructs parameters of K-Means algorithm

Parameters
_nClustersNumber of clusters
_maxIterationsNumber of iterations

Variant 2

Constructs parameters of K-Means algorithm by copying another parameters of K-Means algorithm

Parameters
otherParameters of K-Means algorithm

Member Function Documentation

def check (   self)

check(Parameter self) -> Status

Member Data Documentation

accuracyThreshold = ...
static

Threshold for the termination of the algorithm

assignFlag = ...
static

Do data points assignment

distanceType = ...
static

Distance used in the algorithm

gamma = ...
static

Weight used in distance computation for categorical features

maxIterations = ...
static

Number of iterations

nClusters = ...
static

Number of clusters


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

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