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/0.5.0/modelkit-0.5.0.tbz sha256=1fe8fa7c7f904dd098a21a2ca30fd69230750b8cf8aa2ae481b97a16531b47b4 sha512=c946cd1ac014726f4d21791e14d806a205680e6edfa2f80ed8d3680f24f48ca3c5a2f89d5afa68c11eac4053ead448b6381fb3d06dc8ff129097af6c69b262fb |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/modelkit/modelkit.0.5.0/opam |
Required by
- modelkit-nx>=0.5.0
- modelkit-parallel>=0.5.0
- modelkit-talon>=0.5.0
