Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Public Member Functions | List of all members
Distributed Class Reference

Computes the results of the PCA algorithm on the local nodes. More...

Public Member Functions

def __init__
 
def clone
 
def compute
 
def finalizeCompute
 
- Public Member Functions inherited from Online
def __init__
 
def getMethod
 
def setPartialResult
 
def setResult
 
def getPartialResult
 
def getResult
 
def clone
 
def compute
 
def finalizeCompute
 

Additional Inherited Members

- Static Public Attributes inherited from Online
 input = ...
 
 parameter = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations of the PCA algorithm, double or float
methodComputation method, Method
Enumerations
  • Method Computation methods for the algorithm
References
Aliases
  • Distributed_Step1LocalFloat64SvdDense is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.pca.svdDense)
  • Distributed_Step1LocalFloat64CorrelationDense is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.pca.correlationDense)
  • Distributed_Step1LocalFloat32SvdDense is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.pca.svdDense)
  • Distributed_Step1LocalFloat32CorrelationDense is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.pca.correlationDense)
  • Distributed_Step2MasterFloat64SvdDense is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.pca.svdDense)
  • Distributed_Step2MasterFloat64CorrelationDense is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.pca.correlationDense)
  • Distributed_Step2MasterFloat32SvdDense is an alias of Distributed(step=daal.step2Master, fptype=float32, method=daal.algorithms.pca.svdDense)
  • Distributed_Step2MasterFloat32CorrelationDense is an alias of Distributed(step=daal.step2Master, 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 and returns partial result

def finalizeCompute (   self)

Finalizes computations and returns (final) result


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

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