def test_early_stopping_callback_object(n_samples=10, n_features=30):
# This test evolves w so that every line of th _EarlyStoppingCallback
# code is executed a some point. This a kind of code fuzzing.
rng = check_random_state(42)
X_test = rng.randn(n_samples, n_features)
y_test = np.dot(X_test, np.ones(n_features))
w = np.zeros(n_features)
escb = _EarlyStoppingCallback(X_test, y_test, False)
for counter in range(50):
k = min(counter, n_features - 1)
w[k] = 1
# jitter
if k > 0 and rng.rand() > .9:
w[k - 1] = 1 - w[k - 1]
escb(dict(w=w, counter=counter))
assert_equal(len(escb.test_scores), counter + 1)
# restart
if counter > 20:
w *= 0.
def test_early_stopping_callback_object(n_samples=10, n_features=30):
# This test evolves w so that every line of th _EarlyStoppingCallback
# code is executed a some point. This a kind of code fuzzing.
rng = check_random_state(42)
X_test = rng.randn(n_samples, n_features)
y_test = np.dot(X_test, np.ones(n_features))
w = np.zeros(n_features)
escb = _EarlyStoppingCallback(X_test, y_test, False)
for counter in range(50):
k = min(counter, n_features - 1)
w[k] = 1
# jitter
if k > 0 and rng.rand() > .9:
w[k - 1] = 1 - w[k - 1]
escb(dict(w=w, counter=counter))
assert_equal(len(escb.test_scores), counter + 1)
# restart
if counter > 20:
w *= 0.