C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

List of all members
Batch Class Reference

Class containing a quality metric set to check the model trained with the Naive Bayes algorithm. More...

Class Declaration

Enumerations
References

Constructor & Destructor Documentation

Batch ( size_t  nClasses = 2,
bool  useDefaultMetrics = true 
)
inline

Constructs a quality metric set for the model trained with the Naive Bayes algorithm

Parameters
[in]nClassesNumber of classes
[in]useDefaultMetricsFlag. If true, a quality metric set is initialized with the quality metrics provided by the library

Member Function Documentation

InputDataCollectionPtr getInputDataCollection ( )
inline

Returns the collection of input objects of the quality metrics algorithm

Returns
Collection of input objects of the quality metrics algorithm
ResultCollectionPtr getResultCollection ( )
inline

Returns the structure that contains a computed quality metric set

Returns
Structure that contains a computed quality metric set

Member Data Documentation

Parameter parameter

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.