C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

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Class that represents a set of quality metrics to check the model trained with the AdaBoost algorithm. More...

Class Declaration

Enumerations
References

Constructor & Destructor Documentation

Batch ( bool  useDefaultMetrics = true)
inline

Constructs a quality metric set for the model trained with the AdaBoost algorithm

Parameters
[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 for the quality metrics algorithm

Returns
Collection of input objects for 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

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

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