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

Algorithm class to train the SVM model More...

Public Member Functions

def __init__
 
def getInput
 
def getMethod
 
def getResult
 
def resetResult
 
def clone
 
def compute
 
- Public Member Functions inherited from Batch
def getInput
 
def setResult
 
def getResult
 
def resetResult
 
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

 parameter = ...
 
 input = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the SVM training algorithm, double or float
methodSVM training method, Method
Enumerations
  • classifier.training.InputId Identifiers of SVM training input objects
  • classifier.training.ResultId Identifiers of SVM training results
  • Method SVM training methods
References
Aliases
  • Batch_Float64Boser is an alias of Batch(fptype=float64, method=daal.algorithms.svm.training.boser)
  • Batch_Float32Boser is an alias of Batch(fptype=float32, method=daal.algorithms.svm.training.boser)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

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

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

Invokes computations

def getInput (   self)

Get input objects for the SVM training algorithm

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

Returns method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns structure that contains computed results of the SVM training algorithm

Returns
Structure that contains computed results of the SVM training algorithm
def resetResult (   self)

Resets the training results of the classification 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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