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

Computes the results of the PCA algorithm. More...

Public Member Functions

def __init__
 
def getMethod
 
def setResult
 
def getResult
 
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 PCA, double or float
methodPCA computation method, Method
Enumerations
  • Method Computation methods for the algorithm
Aliases
  • Batch_Float64SvdDense is an alias of Batch(fptype=float64, method=daal.algorithms.pca.svdDense)
  • Batch_Float64CorrelationDense is an alias of Batch(fptype=float64, method=daal.algorithms.pca.correlationDense)
  • Batch_Float32SvdDense is an alias of Batch(fptype=float32, method=daal.algorithms.pca.svdDense)
  • Batch_Float32CorrelationDense is an alias of Batch(fptype=float32, method=daal.algorithms.pca.correlationDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs a PCA algorithm by copying input objects and parameters of another PCA 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 PCA algorithm with a copy of input objects and parameters of this PCA 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 final results of the PCA algorithm

Returns
Structure that contains final results of the PCA
def setResult (   self,
  res 
)

Registers user-allocated memory to store the results of the PCA algorithm

Parameters
resStructure for storing the results of the PCA algorithm

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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