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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 challenge
import challenge_server
import numpy as np
from 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_server.supervised_learning_MIA_challenge_server_factory(
    example_challenge
)

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