def overlap(self, other, method='fraction'):
"""
Compute the overlap between this region and another.
Optional methods are a symmetric measure of overlap based on the fraction
of intersecting pixels relative to the union ('fraction'),
or an assymmetric measure of overlap using precision and recall
rates ('rates').
Parameters
----------
other : one region
The region to compute overlap with.
method : str
Which estimate of overlap to compute, options are
'fraction' (symmetric) or 'rates' (asymmetric)
"""
checkist.opts(method, ['fraction', 'rates'])
coords_self = self.coordinates.tolist()
coords_other = other.coordinates.tolist()
intersection = [a for a in coords_self if a in coords_other]
nhit = float(len(intersection))
ntotal = float(len(set([tuple(x) for x in coords_self] +
[tuple(x) for x in coords_other])))
if method == 'rates':
recall = nhit / len(coords_self)
precision = nhit / len(coords_other)
return recall, precision
if method == 'fraction':
return nhit / float(ntotal)
def test_opts_one_error():
with pytest.raises(ValueError):
checkist.opts('cow', ['bear'])
def test_opts_one():
checkist.opts('cow', ['cow'])
def test_opts_many_error():
with pytest.raises(ValueError):
checkist.opts('cow', ['bear', 'cat', 'owl'])
def test_opts_many():
checkist.opts('cow', ['cow', 'bear', 'cat'])
