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

Normalizes datasets in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getResult
 
def setResult
 
def clone
 
def compute
 
- Public Member Functions inherited from AlgorithmImpl
def computeNoThrow
 
def compute
 
def checkComputeParams
 
def checkResult
 
def setupCompute
 
def resetCompute
 
def enableResetOnCompute
 
def hostApp
 
def setHostApp
 
- Public Member Functions inherited from Algorithm
def checkComputeParams
 
def getBaseParameter
 
- Public Member Functions inherited from AlgorithmIfaceImpl
def enableChecks
 
def isChecksEnabled
 
- Public Member Functions inherited from AlgorithmIface
def checkComputeParams
 
def checkResult
 
def getMethod
 

Static Public Attributes

 input = ...
 
 parameter = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the min-max normalization, double or float
methodMin-max normalization computation method, daal.algorithms.normalization.minmax.Method
Enumerations
  • daal.algorithms.normalization.minmax.Method Min-max normalization computation methods
  • daal.algorithms.normalization.minmax.InputId Identifiers of min-max normalization input objects
  • daal.algorithms.normalization.minmax.ResultId Identifiers of min-max normalization results
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.normalization.minmax.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.normalization.minmax.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs min-max normalization algorithm by copying input objects of another min-max normalization algorithm

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

Member Function Documentation

def clone (   self)

Returns a pointer to the newly allocated min-max normalization algorithm with a copy of input objects of this min-max normalization algorithm

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

Invokes computations

def getMethod (   self)

Returns method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns the structure that contains computed results of the min-max normalization

Returns
Structure that contains computed results of the min-max normalization
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of the min-max normalization algorithms

Parameters
resultStructure to store results of the min-max normalization algorithms
Returns
Status of computations

Member Data Documentation

input = ...
static

input data structure

parameter = ...
static

Parameters


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

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