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