🌐 Website · 📚 Documentation
Machine learning in pure Go. Planned, wave 3 of the go-scikit roadmap.
go-mlkit is the planned home of machine learning for go-scikit: clustering, classification and model selection, the parts of MATLAB's Statistics and Machine Learning Toolbox and Mathematica's FindClusters, Classify and Predict that no go-scikit organisation covers. It is in wave 3, together with go-statistics time series (PLAN.md item 15).
The organization has no library yet and no release tag: this page, the website and the documentation describe what is planned. The plan is PLAN.md and the state of each item is in STATUS.md of go-scikit/roadmap.
| Repo | What it is |
|---|---|
| Machine learning | Planned for wave 3: clustering, classification and model selection, validated against scikit-learn. (planned, wave 3; repositories not created yet, one per algorithm family, names not fixed) |
| docs | the documentation site (Hugo + Hextra), served at /docs/ |
| go-mlkit.github.io | the landing page (Hugo) |
| brand | logo, icons and social images |