package modelkit-xgboost

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CPU histogram-tree estimators with XGBoost for ModelKit

Install 

dune-project
 Dependency

github.com Edit opam file Versions (1)

Authors

  1. A
    Asara

Maintainers

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

Sources

modelkit-0.6.3.tbz
sha256=a70c1c95bdc13e7abff028394a14300e2847e3f3931d6e1476394cbcdfb05407
sha512=eb186a5a919a43006ea350e8ab49845d230dc1de8f61d83c06f4d1aa2371930ea0239dcf9dbb3337e18867301422c6dc5af4d569afaf187bde5d1a2368b7bbe4

Description

ModelKit XGBoost provides weighted CPU histogram-tree regression, external-memory regression from replayable batches, binary/multiclass classification, immutable specifications, checked float32 input conversion, native missing-value routing, allocation reports, schema-checked prediction, and trusted fitted-model persistence without adding XGBoost dependencies to ModelKit's portable core.

Tags

data-science machine-learning adapters xgboost

Added to opam-repository:

Dependencies (8)

  1. yojson >= "2.2.2" & < "4.0.0"
  2. integers
  3. ctypes-foreign >= "0.22"
  4. ctypes >= "0.22"
  5. xgboost = "0.2.6"
  6. modelkit = version
  7. ocaml >= "5.2"
  8. dune >= "3.23"

Dev Dependencies (4)

  1. odoc with-doc
  2. alcotest with-test & >= "1.9.0"
  3. mdx with-test & >= "2.4.0"
  4. modelkit-parallel with-test & = version

Optional Dependencies

None

Used by

None

Conflicts

None

Build status

This version of modelkit-xgboost was published after the check.ci.ocaml.org run of against opam-repository 8a77e58, so it has no build results yet. check.ci runs about once a week.