Skip to main content

A library aiding to create challenges for the AnoMed competition platform.

Project description

Code style: black pipeline status coverage

Challenge

A library aiding to create challenges for the AnoMed competition platform.

Usage Example

import numpy as np

import anomed_challenge as challenge
from anomed_challenge import InMemoryNumpyArrays


example_challenge = challenge.SupervisedLearningMIAChallenge(
    training_data=InMemoryNumpyArrays(X=np.arange(70), y=np.arange(70)),
    tuning_data=InMemoryNumpyArrays(X=np.arange(30), y=np.arange(30)),
    validation_data=InMemoryNumpyArrays(X=np.arange(20), y=np.arange(20)),
    anonymizer_evaluator=challenge.strict_binary_accuracy,
    MIA_evaluator=challenge.evaluate_MIA,
)
app = challenge.supervised_learning_MIA_challenge_server_factory(
    example_challenge
)

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

anomed_challenge-0.0.3.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

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

anomed_challenge-0.0.3-py3-none-any.whl (11.3 kB view details)

Uploaded Python 3

File details

Details for the file anomed_challenge-0.0.3.tar.gz.

File metadata

  • Download URL: anomed_challenge-0.0.3.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.16

File hashes

Hashes for anomed_challenge-0.0.3.tar.gz
Algorithm Hash digest
SHA256 cf987fa7d788910ee7245284c9dc11b6e0ad0da38f0eab9fd3a75e7374747a42
MD5 5a37913e81d243f57bf33d6fbc303a15
BLAKE2b-256 b6f58845ce5a3489a0f760c7c03b8bb2e4836f6301ea75c191f36fd305d250a9

See more details on using hashes here.

File details

Details for the file anomed_challenge-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for anomed_challenge-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 50a36da62f223a5f5f5ce733d75ff245f8e708da72eea7ee643c9d26ce6e120b
MD5 0d46213df6c24fb05a8943af98d177fe
BLAKE2b-256 e745cbb406abfa9592cd14828bcfbc5c1f7c4a710bcbe4296a0f01a7d119c432

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