return sample_weights
# =============================================================================
# Initialization
# =============================================================================
# Values that the "normalize" parameter can take to
# parametrize the testing method of kendall_distance
NORMALIZE = [True, False]
# Initialize a random number generator to
# ensure that the tests are reproducible
seed = 198075
random_state = check_random_state(seed)
n_repetitions = 2
n_samples = 20
n_classes = 5
Y_true = _make_label_ranking(n_samples, n_classes, random_state)
Y_pred = _make_label_ranking(n_samples, n_classes, random_state)
sample_weights = _make_sample_weights(n_repetitions, n_samples, random_state)
# =============================================================================
# Testing
# =============================================================================
@pytest.mark.parametrize("normalize", NORMALIZE)
def setup(self):
"""Setup the attributes for testing."""
self.random_state = check_random_state(198075)
self.X1 = self.random_state.random_sample((2, 2))
self.X2 = self.random_state.random_sample((5, 2))