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

KD-tree based kNN algorithm parameters. More...

Public Member Functions

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

Static Public Attributes

 k = ...
 
 seed = ...
 
 dataUseInModel = ...
 
 engine = ...
 
- Static Public Attributes inherited from Parameter
 nClasses = ...
 

Detailed Description

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

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Parameter constructor

Parameters
nClassesNumber of classes
nNeighborsNumber of neighbors
randomSeedSeed for random choosing elements from training dataset
Deprecated:
This item will be removed in a future release. Use engine instead.
Parameters
dataUseThe option to enable/disable an usage of the input dataset in kNN model

Member Function Documentation

def check (   self)

Checks a parameter of the KD-tree based kNN algorithm

Member Data Documentation

dataUseInModel = ...
static

The option to enable/disable an usage of the input dataset in kNN model

engine = ...
static

Engine for random choosing elements from training dataset

k = ...
static

Number of neighbors

seed = ...
static

Seed for random choosing elements from training dataset

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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