package modelkit

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Portable classical machine learning workflows for OCaml

Install 

dune-project
 Dependency

github.com Edit opam file Versions (5)

Authors

  1. A
    Asara

Maintainers

  1. A
    Asara developers <devs@asara.io>

Sources

modelkit-0.6.3.tbz
sha256=a70c1c95bdc13e7abff028394a14300e2847e3f3931d6e1476394cbcdfb05407
sha512=eb186a5a919a43006ea350e8ab49845d230dc1de8f61d83c06f4d1aa2371930ea0239dcf9dbb3337e18867301422c6dc5af4d569afaf187bde5d1a2368b7bbe4

Description

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

Added to opam-repository:

Dependencies (2)

  1. ocaml >= "5.2"
  2. dune >= "3.23"

Dev Dependencies (4)

  1. odoc with-doc
  2. qcheck-core with-test & >= "0.90"
  3. mdx with-test & >= "2.4.0"
  4. alcotest with-test & >= "1.9.0"

Optional Dependencies

None

Conflicts

None

Build status

Results of building modelkit with each compiler on check.ci.ocaml.org, run of against opam-repository 8a77e58. All results for this package.

Each result links to its build log. To keep crawlers from overloading the site, build logs require a GitHub sign-in (see ocurrent/opam-health-check). On your first log, GitHub asks you to “Authorize opam-health-check”, the OCurrent app that runs these checks; it sees only your public profile, not your repositories. The sign-in lasts 30 days.

This version is not in the latest run; the versions below are.

Version OCaml 4.11 OCaml 4.14 OCaml 5.2 OCaml 5.4 OCaml 5.5
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  • partial One of the dependencies failed to build
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