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 Logistic 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 Logistic loss objective function, double or float
methodThe Logistic loss objective function computation method
Enumerations
  • Method Computation methods for the Logistic loss objective function
  • InputId Identifiers of input objects for the Logistic loss objective function
  • objective_function.ResultId Result identifiers for the Logistic loss objective function
References
Aliases
  • Batch_Float64DefaultDense is an alias of Batch(fptype=float64, method=daal.algorithms.optimization_solver.logistic_loss.defaultDense)
  • Batch_Float32DefaultDense is an alias of Batch(fptype=float32, method=daal.algorithms.optimization_solver.logistic_loss.defaultDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Main constructor


Variant 2

Constructs an the Logistic loss objective function algorithm by copying input objects and parameters of another the Logistic 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 Logistic loss objective function algorithm with a copy of input objects of this the Logistic loss objective function algorithm

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

Invokes computations

def create (   numberOfTerms)

Creates the instance of the class

Parameters
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.