Skip to main content

Efficient tree-based nonlinear anchor regression and classification

Project description

Anchor Boosting

Efficient tree-based nonlinear anchor regression and classification for Python.

If you use this, please consider citing

article{londschien2025,
  title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression},
  author={Londschien, Malte, Burger, Manuel, R{\"a}tsch, Gunnar and B{\"u}hlmann, Peter},
  journal={arXiv preprint arXiv:2507.21783},
  year={2025}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anchorboosting-0.3.0.tar.gz (20.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

anchorboosting-0.3.0-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file anchorboosting-0.3.0.tar.gz.

File metadata

  • Download URL: anchorboosting-0.3.0.tar.gz
  • Upload date:
  • Size: 20.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for anchorboosting-0.3.0.tar.gz
Algorithm Hash digest
SHA256 797439b17b820177926c5cbf77a2a881a6967b3a57baac3fd5148867ada4ee5d
MD5 b80420bc6c8d103f1bc41f0418f5a8b5
BLAKE2b-256 f431b21521b9fc5cb474e41651aa8a91542d700587a03b0eb5ac54b12fe32f61

See more details on using hashes here.

Provenance

The following attestation bundles were made for anchorboosting-0.3.0.tar.gz:

Publisher: build.yaml on mlondschien/anchorboosting

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file anchorboosting-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: anchorboosting-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for anchorboosting-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e4646db0fe8d53906551e7f75d489d5dc5f9a50c6fc84a2551a31789b70f550c
MD5 abc72416b759bb290667c4675cb35737
BLAKE2b-256 a4289ecb5e522ee54e92bf9fab10c909297bc308692bc267669ca46036721637

See more details on using hashes here.

Provenance

The following attestation bundles were made for anchorboosting-0.3.0-py3-none-any.whl:

Publisher: build.yaml on mlondschien/anchorboosting

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page