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

Public Member Functions | Static Public Attributes | List of all members
interface1_Parameter Class Reference

Base classes parameters for computing initial centroids 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 = ...
 
 nRowsTotal = ...
 
 offset = ...
 
 seed = ...
 
 L = nClusters*oversamplingFactorpointsaresampledinaround.
 
 nRounds = ...
 
 engine = ...
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Parameter constructor

Parameters
_nClustersNumber of clusters
_offsetOffset in the total data set specifying the start of a block stored on a given local node
_seedSeed for generating random numbers for the initialization
Deprecated:
This item will be removed in a future release. Use engine instead.

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(interface1_Parameter self) -> Status

Member Data Documentation

engine = ...
static

Engine to be used for generating random numbers for the initialization

L = nClusters*oversamplingFactorpointsaresampledinaround.
static

Kmeans|| only. A fraction of nClusters being chosen in each of nRounds of kmeans||.

nClusters = ...
static

Number of clusters

nRounds = ...
static

Kmeans|| only. Number of rounds for k-means||. (oversamplingFactor*nRounds) > 1 is a requirement.

nRowsTotal = ...
static

Total number of rows in the data set

offset = ...
static

Offset in the total data set specifying the start of a block stored on a given local node

seed = ...
static

Seed for generating random numbers for the initialization

Deprecated:
This item will be removed in a future release.

Use engine instead.


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

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