golearn

GoLearn is a machine learning library written in Go, a programming language developed at Google. The library is described as "batteries included," meaning it ships with most of what a developer needs to start building machine learning applications without hunting down separate packages. The focus is on keeping things simple while still allowing customization.

At the core of GoLearn is a concept called Instances, which act like spreadsheets or data tables. You load your data into an Instances object and then pass it to learning algorithms. The library follows the same Fit and Predict pattern made popular by scikit-learn, a well-known Python machine learning toolkit. If you know that pattern, you can swap different algorithms in and out with minimal changes to your code.

GoLearn includes built-in helpers for common tasks like splitting your data into training and testing sets, and running cross-validation, which is a technique for checking how well a model generalizes to new data. The repository ships with practical examples, including a working classifier for the classic Iris flower dataset, which is a standard benchmark used to test machine learning code.

The included example code shows the full workflow: load a CSV file, split the data, train a classifier, run predictions, and print accuracy metrics. That walkthrough covers most of the steps a beginner would need to understand. Documentation is available in English, Simplified Chinese, and Traditional Chinese.

The project appears to be in slower maintenance mode based on the README, which mentions active development and encourages community feedback, though the tone and tooling references suggest the codebase is several years old. It remains a notable option for developers who prefer to work in Go rather than Python for data-related work.