def test_pybrain_reproducibility():
# This test fails. Because PyBrain can't reproduce training.
X, y, _ = generate_classification_data()
clf1 = PyBrainClassifier(layers=[4], epochs=2).fit(X, y)
clf2 = PyBrainClassifier(layers=[4], epochs=2).fit(X, y)
print(clf1.predict_proba(X) - clf2.predict_proba(X))
assert numpy.allclose(clf1.predict_proba(X), clf2.predict_proba(X)), 'different predicitons'
check_classification_reproducibility(clf1, X, y)
def test_pybrain_reproducibility():
# This test fails. Because PyBrain can't reproduce training.
X, y, _ = generate_classification_data()
clf1 = PyBrainClassifier(layers=[4], epochs=2).fit(X, y)
clf2 = PyBrainClassifier(layers=[4], epochs=2).fit(X, y)
print(clf1.predict_proba(X) - clf2.predict_proba(X))
assert numpy.allclose(clf1.predict_proba(X),
clf2.predict_proba(X)), 'different predicitons'
check_classification_reproducibility(clf1, X, y)
