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

Public Member Functions | List of all members
Batch Class Reference

Computes correlation or variance-covariance matrix in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def clone
 
def compute
 
- Public Member Functions inherited from BatchImpl
def getResult
 
def setResult
 
def clone
 
- 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
 

Additional Inherited Members

- Static Public Attributes inherited from BatchImpl
 input = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations of the correlation or variance-covariance matrix, double or float
methodComputation method, daal.algorithms.covariance.Method
Enumerations
  • Method Computation methods for correlation or variance-covariance matrix
  • InputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm
  • ResultId Identifiers of results of the correlation or variance-covariance matrix algorithm
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.defaultDense)
  • Batch_Float64SinglePassDense is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.singlePassDense)
  • Batch_Float64SumDense is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.sumDense)
  • Batch_Float64FastCSR is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.fastCSR)
  • Batch_Float64SinglePassCSR is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.singlePassCSR)
  • Batch_Float64SumCSR is an alias of Batch(fptype=float64, method=daal.algorithms.covariance.sumCSR)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.defaultDense)
  • Batch_Float32SinglePassDense is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.singlePassDense)
  • Batch_Float32SumDense is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.sumDense)
  • Batch_Float32FastCSR is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.fastCSR)
  • Batch_Float32SinglePassCSR is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.singlePassCSR)
  • Batch_Float32SumCSR is an alias of Batch(fptype=float32, method=daal.algorithms.covariance.sumCSR)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2

Constructs an algorithm for correlation or variance-covariance matrix computation by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation

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 algorithm for correlation or variance-covariance matrix computation with a copy of input objects and parameters of this algorithm for correlation or variance-covariance matrix computation

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

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

For more complete information about compiler optimizations, see our Optimization Notice.