Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

Classes

Contains classes to check the quality of the model trained with the AdaBoost algorithm.

Classes

class  InputDataCollection
 Class that implements functionality of the collection of input objects for the quality metrics algorithm. More...
 
class  QualityMetricId
 Available identifiers of the quality metrics available for the model trained with the AdaBoost algorithm. More...
 
class  QualityMetricSetBatch
 Class that represents a quality metric set to check the model trained with the AdaBoost algorithm. More...
 
class  ResultCollection
 Class that implements functionality of the collection of result objects of the quality metrics algorithm. More...
 

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