goml
A Go machine learning library with online learning capabilities and a variety of implemented models.
What is goml?
goml is a machine learning library written in Go that enables developers to incorporate machine learning into their applications. It provides a range of models, including generalized linear models, perceptrons, clustering algorithms, and text classification tools, with a focus on online learning capabilities. The library solves the problem of integrating machine learning into Go-based projects with clean, modular code and extensive documentation.
Go developers looking to add machine learning functionality to their applications, particularly those interested in online learning and reactive data processing. It's also suitable for data scientists or engineers working within the Go ecosystem who need accessible, well-documented ML tools.
Developers choose goml for its online learning features, allowing real-time model updates via data streams, and its comprehensive set of implemented models in pure Go. Its clean, modular codebase and strong documentation make it a practical choice for integrating machine learning without external dependencies.
Overview
On-line Machine Learning in Go (and so much more)
Use Cases
Best For
- Implementing online machine learning models that update reactively to streaming data
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