Naive Bayesian Classification for Golang

Naive Bayesian Classification for Golang

A simple and flexible naive Bayesian classifier library for Golang.

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About Naive Bayesian Classification for Golang

Naive Bayesian Classification for Golang is an open-source Go library designed for performing naive Bayesian classification on sets of strings into any number of user-defined classes. It offers additional features such as term frequency-inverse document frequency (TF-IDF) support, conditional probability scoring, underflow detection, and basic classifier persistence. It is ideal for Go developers and machine learning practitioners seeking a straightforward implementation of Bayesian classifiers within Go projects.

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Comprehensive API reference and integration guides for the Naive Bayesian Classification library.

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