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 Cross-entropy loss objective function in the batch processing mode. More...

Public Member Functions

def __init__
 
def getMethod
 
def clone
 
def allocate
 
def parameter
 
def create
 
def compute
 
- Public Member Functions inherited from Batch
def clone
 
def compute
 
- Public Member Functions inherited from Batch
def getResult
 
def setResult
 
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 = ...
 
- Static Public Attributes inherited from Batch
 sumOfFunctionsParameter = ...
 
 sumOfFunctionsInput = ...
 

Detailed Description

Parameters
fptypeData type to use in intermediate computations for the Cross-entropy loss objective function, double or float
methodThe Cross-entropy loss objective function computation method
Enumerations
  • Method Computation methods for the Cross-entropy loss objective function
  • InputId Identifiers of input objects for the Cross-entropy loss objective function
  • objective_function.ResultId Result identifiers for the Cross-entropy loss objective function
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.optimization_solver.cross_entropy_loss.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.optimization_solver.cross_entropy_loss.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Main constructor


Variant 2

Constructs an the Cross-entropy loss objective function algorithm by copying input objects and parameters of another the Cross-entropy loss objective function algorithm

Parameters
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

def allocate (   self)

Allocates memory buffers needed for the computations

Returns
Status of computations
def clone (   self)

Returns a pointer to the newly allocated the Cross-entropy loss objective function algorithm with a copy of input objects of this the Cross-entropy loss objective function algorithm

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

Invokes computations

def create (   nClasses,
  numberOfTerms 
)

Creates the instance of the class

Parameters
nClassesConstructor argument
numberOfTermsConstructor argument
Returns
New instance of the class
def getMethod (   self)

Returns the method of the algorithm

Returns
Method of the algorithm
def parameter (   self,
  args 
)

Variant 1

Gets parameter of the algorithm

Returns
parameter of the algorithm

Variant 2

Gets parameter of the algorithm

Returns
parameter of the algorithm

Member Data Documentation

input = ...
static

Input data structure


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

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