def test_fleiss_pi_linear(self):
'''
Test fleiss_pi_linear.
'''
self.assertAlmostEquals(Decimal('0.23995756'),
fleiss_pi_linear(KAZANTSEVA2012_G5))
def metric_pi_bed(forest1, forest2):
dataset = {
id_: {
"1": get_untyped_masses(tree1),
"2": get_untyped_masses(tree2)
}
for id_, (tree1, tree2) in enumerate(list(zip(forest1, forest2)))
}
score = segeval.fleiss_pi_linear(dataset) * 100
return score
def metric_pi_bed(forest1, forest2):
dataset = {id_: {"1": get_untyped_masses(tree1),
"2": get_untyped_masses(tree2)}
for id_, (tree1, tree2) in enumerate(zip(forest1, forest2))}
score = segeval.fleiss_pi_linear(dataset) * 100
return score
