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

Provides methods for neural network model-based prediction in the batch processing mode. More...

Public Member Functions

def __init__
 
def getResult
 
def setResult
 
def clone
 
def getMethod
 
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 for neural network model-based prediction, double or float
methodNeural network prediction method, prediction.Method
Enumerations
  • prediction.Method Computation methods
References
Deprecated:
This item will be removed in a future release.
Aliases
  • Batch_Float64FeedforwardDense is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.prediction.feedforwardDense)
  • Batch_Float32FeedforwardDense is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.prediction.feedforwardDense)

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Constructs neural network by copying input objects and parameters of another neural network

Parameters
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
Deprecated:
This item will be removed in a future release.

Member Function Documentation

def clone (   self)

Returns a pointer to the newly allocated neural network with a copy of input objects and parameters of this neural network

Returns
Pointer to the newly allocated layer
Deprecated:
This item will be removed in a future release.
def compute (   self)

Invokes computations

def getMethod (   self)

Returns method of the algorithm

Returns
Method of the algorithm
Deprecated:
This item will be removed in a future release.
def getResult (   self)

Returns the structure that contains the results of the neural network algorithm

Returns
Structure that contains the results of the neural network algorithm
Deprecated:
This item will be removed in a future release.
def setResult (   self,
  res 
)

Register user-allocated memory to store the results of the neural network algorithm

Parameters
resStructure to store the results of the neural network algorithm
Returns
Status of computations
Deprecated:
This item will be removed in a future release.

Member Data Documentation

input = ...
static

Input data structure

parameter = ...
static

Prediction parameters


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

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