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

Public Member Functions | List of all members
DistributedStep4LocalPlusPlusInput Class Reference

Interface for K-Means distributed Input classes used with plusPlus and parallelPlus methods only on the 4th step on a local node. More...

Public Member Functions

def __init__
 
def getInput
 
def setInput
 
def getLocal
 
def setLocal
 
def getStepInput
 
def setStepInput
 
def check
 
- Public Member Functions inherited from Input
def __init__
 
def get
 
def set
 
def getNumberOfFeatures
 
def check
 
- Public Member Functions inherited from InputIface
def getNumberOfFeatures
 
- Public Member Functions inherited from Input
def __init__
 
def check
 
- Public Member Functions inherited from Argument
def __init__
 
def __lshift__
 
def size
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Member Function Documentation

def check (   self,
  par,
  method 
)

Checks an input object for computing initial centroids for K-Means algorithm

Parameters
parInput object
methodMethod of the algorithm
def getInput (   self,
  id 
)

Returns input objects for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
Returns
Input object that corresponds to the given identifier
def getLocal (   self,
  id 
)

Returns input objects for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
Returns
Input object that corresponds to the given identifier
def getStepInput (   self,
  id 
)

Returns input objects for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
Returns
Input object that corresponds to the given identifier
def setInput (   self,
  id,
  ptr 
)

Sets an input object for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
ptrPointer to the input object
def setLocal (   self,
  id,
  ptr 
)

Sets an input object for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
ptrPointer to the input object
def setStepInput (   self,
  id,
  ptr 
)

Sets an input object for computing initial centroids for K-Means algorithm

Parameters
idIdentifier of the input object
ptrPointer to the input object

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

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