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MIPLearn/miplearn/classifiers/evaluator.py

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# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
from sklearn.metrics import roc_auc_score
class ClassifierEvaluator:
def __init__(self):
pass
def evaluate(self, clf, x_train, y_train):
# FIXME: use cross-validation
proba = clf.predict_proba(x_train)
return roc_auc_score(y_train, proba[:, 1])