Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5

Naïve Bayes Classifier

Naïve Bayes is a set of simple and powerful classification methods often used for text classification, medical diagnosis, and other classification problems. In spite of their main assumption about independence between features, Naïve Bayes classifiers often work well when this assumption does not hold. An advantage of this method is that it requires only a small amount of training data to estimate model parameters.

Note

For more information on the concepts behind the algorithm, see "Details" section.

For more information on the algorithm's parameters for a specific computation mode and examples of its usage, see "Batch Processing", "Online Processing" and "Distributed Processing" sections.