modelkitversion Documentation on ocaml.org
Portable classical machine learning workflows for OCaml
ModelKit is a native OCaml library for cohesive classical machine learning workflows. It is designed around immutable estimator specifications, leakage-safe pipelines, deterministic evaluation, and portable fitted artifacts.
| Tags | data-science machine-learning |
|---|---|
| Author | Asara |
| License | Apache-2.0 |
| Published | |
| Homepage | https://github.com/asara-io/ModelKit |
| Issue Tracker | https://github.com/asara-io/ModelKit/issues |
| Maintainer | Asara developers <devs@asara.io> |
| Dependencies | |
| Source [http] | https://github.com/asara-io/ModelKit/releases/download/0.4.1/modelkit-0.4.1.tbz sha256=7a7af032790248b5d1d5392bbf29f8c8163df2e7f50ab5801cdaed5fd2c543e1 sha512=185bc224afc9b141d54b89a564694438a268429ba9c58dd3a402da31cb29f3e1eefd3643a76766ce9170c5f6c927f307873d51e4e3ce08aece00884cebbe0e2a |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/modelkit/modelkit.0.4.1/opam |
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