def test_deprecated_munkres():
y = np.array([0, 1, 0, 1, 0, 1, 1, 1])
y_pred = np.array([0, 0, 0, 0, 1, 1, 1, 1])
reward, assignment = unsupervised_clustering_accuracy(y, y_pred)
assert reward == 0.625
assert (assignment == np.array([[0, 0], [1, 1]])).all()
y = np.array([1, 1, 2, 2, 0, 0, 3, 3])
y_pred = np.array([1, 1, 2, 2, 3, 3, 0, 0])
reward, assignment = unsupervised_clustering_accuracy(y, y_pred)
assert reward == 1.0
assert (assignment == np.array([[0, 3], [1, 1], [2, 2], [3, 0]])).all()
def unsupervised_classification_accuracy(self,
classifier=None,
verbose=False):
all_y, all_y_pred = self.compute_predictions()
uca = unsupervised_clustering_accuracy(all_y, all_y_pred)[0]
if verbose:
print("UCA : %.4f" % (uca))
return uca
def unsupervised_classification_accuracy(self):
all_y, all_y_pred = self.compute_predictions()
uca = unsupervised_clustering_accuracy(all_y, all_y_pred)[0]
logger.debug("UCA : %.4f" % (uca))
return uca
