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

Predicts BrownBoost classification results. More...

Public Member Functions

def __init__
 
def getInput
 
def getMethod
 
def clone
 
def compute
 

Static Public Attributes

 input = ...
 
 parameter = ...
 

Detailed Description

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

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

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

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

Invokes computations

def getInput (   self)

Get input objects for the BrownBoost prediction algorithm

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

Returns method of the algorithm

Returns
Method of the algorithm

Member Data Documentation

input = ...
static

Input objects of the algorithm

parameter = ...
static

Parameters of the algorithm


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

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