Naive Bayesian Classification for Golang

Naive Bayesian Classification for Golang

Naive Bayesian and TF-IDF classification library for Go.

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About Naive Bayesian Classification for Golang

Naive Bayesian Classification for Golang is an open-source Go library enabling developers to perform naive Bayesian classification and TF-IDF calculations on sets of strings, supporting an arbitrary number of classes. It provides tools for conditional probability, log-likelihood scoring, underflow detection, statistics, and simple classifier persistence, making it suitable for applications in classification, text analysis, and basic machine learning workflows within Go projects.

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

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Community discussions and troubleshooting for issues related to the library.

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Documentation

Comprehensive API reference and usage examples for the bayesian library.

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Example Usage

Sample code and use cases demonstrating how to implement the bayesian library in Go projects.

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