C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

List of all members

Algorithm class for training the classifier model in the online processing mode. More...

Class Declaration

Enumerations
  • InputId Input objects of the classifier model training algorithm
  • ResultId Results of the classifier model training algorithm
References

Constructor & Destructor Documentation

◆ Online()

Online ( const Online other)
inline

Constructs a classifier training algorithm by copying input objects and parameters of another classifier training algorithm

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

Member Function Documentation

◆ clone()

services::SharedPtr<Online> clone ( ) const
inline

Returns a pointer to the newly allocated classifier training algorithm with a copy of input objects and parameters of this classifier training algorithm

Returns
Pointer to the newly allocated algorithm

◆ getPartialResult()

PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains computed partial results of the classification algorithm

Returns
Structure that contains computed partial results

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains results of the classification algorithm

Returns
Structure that contains computed results

◆ setPartialResult()

services::Status setPartialResult ( const PartialResultPtr partialResult,
bool  initFlag = false 
)
inline

Registers user-allocated memory for storing partial training results

Parameters
[in]partialResultStructure for storing partial results
[in]initFlagFlag if partial result initialized or not

◆ setResult()

services::Status setResult ( const ResultPtr res)
inline

Registers user-allocated memory for storing results of the classifier model training algorithm

Parameters
[in]resStructure for storing results of the classifier model training algorithm

Member Data Documentation

◆ input

InputType input

Input objects of the algorithm


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

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