Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes to check the quality of the model trained with the multinomial naive Bayes algorithm. More...
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 multinomial Naive Bayes algorithm. More... | |
| class | QualityMetricSetBatch |
| Class that represents a quality metric set to check the model trained with the multinomial Naive Bayes algorithm. More... | |
| class | QualityMetricSetParameter |
| Class for the parameter of the multinomial Naive Bayes algorithm. More... | |
| class | ResultCollection |
| Class that implements functionality of the collection of result objects of the quality metrics algorithm. More... | |
Contains classes for computing the multi-class confusion matrix.
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