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 linear regression quality metric in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def getResult
 
def setResult
 
def setInput
 
def clone
 
def compute
 
- Public Member Functions inherited from Batch
def setInput
 
def getResult
 
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 of metric, double or float
methodComputation method for the metric, Method
Enumerations
  • Method Computation method for the metric
  • InputId Identifiers of input objects for the metric algorithm
  • ResultId Result identifiers for the metric algorithm
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.pca.quality_metric.explained_variance.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.pca.quality_metric.explained_variance.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1
Default constructor

Variant 2
Default constructor

Variant 3
Default constructor

Variant 4

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

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

Invokes computations

def getMethod (   self)

Returns the method of the algorithm

Returns
Method of the algorithm
def getResult (   self)

Returns the structure that contains results of the algorithm

Returns
Structure that contains results of the algorithm
def setInput (   self,
  other 
)

Registers user-allocated memory to store the input object for the algorithm

Parameters
otherStructure to store the input object for the algorithm
def setResult (   self,
  result 
)

Registers user-allocated memory to store results of the algorithm

Parameters
resultStructure to store results of the algorithm
Returns
Status of computations

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:

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