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

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

Trains model of the AdaBoost algorithms in batch mode. More...

Public Member Functions

def __init__
 
def getInput
 
def getMethod
 
def getResult
 
def resetResult
 
def clone
 
def compute
 

Static Public Attributes

 parameter = ...
 
 input = ...
 

Detailed Description

Deprecated:
This item will be removed in a future release.
Parameters
fptypeData type to use in intermediate computations for the AdaBoost, double or float
methodAdaBoost computation method, daal.algorithms.adaboost.training.Method
Enumerations
  • Method Enumeration of supported AdaBoost training methods
  • classifier.training.InputId Enumeration of supported input arguments of the AdaBoost training algorithm
  • classifier.training.ResultId Enumeration of supported AdaBoost training results
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.adaboost.training.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.adaboost.training.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Constructs an AdaBoost training algorithm by copying input objects and parameters of another AdaBoost training algorithm

Parameters
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

def clone (   self)

Returns a pointer to the newly allocated AdaBoost training algorithm with a copy of input objects and parameters of this AdaBoost training algorithm

Returns
Pointer to the newly allocated algorithm
def compute (   self)

Invokes computations

def getInput (   self)

Get input objects for the AdaBoost training algorithm

Returns
Input objects for the AdaBoost training algorithm
def getMethod (   self)

Returns method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns the structure that contains results of AdaBoost training

Returns
Structure that contains results of AdaBoost training
def resetResult (   self)

Resets the training results of the classification algorithm

Member Data Documentation

input = ...
static

Input data structure

parameter = ...
static

Parameters of the algorithm


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

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