Skip to main content

Causal ML for longitudinal disease progression

Project description

Model

This repository contains the implementation of the MetaRisk Model Infrastructure.

Related Document: Revisiting_MetaRisk_V2.pdf

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

metarisk-1.4.1.tar.gz (62.2 kB view details)

Uploaded Source

Built Distribution

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

metarisk-1.4.1-py3-none-any.whl (37.4 kB view details)

Uploaded Python 3

File details

Details for the file metarisk-1.4.1.tar.gz.

File metadata

  • Download URL: metarisk-1.4.1.tar.gz
  • Upload date:
  • Size: 62.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for metarisk-1.4.1.tar.gz
Algorithm Hash digest
SHA256 871e754da300e70123f99bebc10e6ff91824f95cc555b37003f8f6af3c62bb1a
MD5 dc46a3ea7ff783ca22d31952e7b69d47
BLAKE2b-256 d74dbe102896aa6f49be1dfd501676976a19516d5d63bee153ee0f22dc6a98e4

See more details on using hashes here.

File details

Details for the file metarisk-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: metarisk-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 37.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for metarisk-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a7ce9c51841e3837d13fb56d7eef9692bea95c29ddebe86484ff588bc083dfc6
MD5 4bd8c8c4846c4d6dc07e6b0b07c4799f
BLAKE2b-256 23a19530c799264d11aa7c2e7bb3cf30cac8042ca4f083e0c93a78058225d935

See more details on using hashes here.

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