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 BrownBoost algorithms in the batch processing 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

Parameters
fptypeData type to use in intermediate computations for BrownBoost, double or float
methodBrownBoost computation method, daal.algorithms.brownboost.training.Method
Enumerations
  • Method BrownBoost training methods
  • classifier.training.InputId Identifiers of input objects for the BrownBoost training algorithm
  • classifier.training.ResultId Identifiers of BrownBoost training results
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.brownboost.training.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.brownboost.training.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Constructs a BrownBoost training algorithm by copying input objects and parameters of another BrownBoost 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 BrownBoost training algorithm with a copy of input objects and parameters of this BrownBoost training algorithm

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

Invokes computations

def getInput (   self)

Get input objects for the BrownBoost training algorithm

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

Returns the method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns the structure that contains results of BrownBoost training

Returns
Structure that contains results of BrownBoost 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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