def results(self):
results = Tree({
'MEAN_RSN_ZERO_HOP': np.mean(self.rsn_hit_ratio[0]),
'MEAN_RSN_ONE_HOP': np.mean(self.rsn_hit_ratio[1]),
'MEAN_RSN_TWO_HOP': np.mean(self.rsn_hit_ratio[2]),
'MEAN_RSN_THREE_HOP': np.mean(self.rsn_hit_ratio[3]),
})
results['MEAN_RSN_ALL'] = results['MEAN_RSN_ZERO_HOP'] + \
results['MEAN_RSN_ONE_HOP'] + \
results['MEAN_RSN_TWO_HOP'] + \
results['MEAN_RSN_THREE_HOP']
if self.cdf:
results.update({
'CDF_RSN_ZERO_HOP': cdf(self.rsn_hit_ratio[0]),
'CDF_RSN_ONE_HOP': cdf(self.rsn_hit_ratio[1]),
'CDF_RSN_TWO_HOP': cdf(self.rsn_hit_ratio[2]),
'CDF_RSN_THREE_HOP': cdf(self.rsn_hit_ratio[3]),
})
return results
def test_update_base(self):
tree = Tree()
tree.update({'b': 1, 'c': 2})
self.assertIsInstance(tree, Tree)
self.assertEqual(tree.getval(['b']), 1)
self.assertEqual(tree.getval(['c']), 2)
def test_update_base(self):
tree = Tree()
tree.update({'b': 1, 'c': 2})
self.assertIsInstance(tree, Tree)
self.assertEqual(tree.getval(['b']), 1)
self.assertEqual(tree.getval(['c']), 2)
def test_update_base(self):
tree = Tree()
tree.update({'b': 1, 'c': 2})
assert isinstance(tree, Tree)
assert tree.getval(['b']) == 1
assert tree.getval(['c']) == 2
def test_update_base(self):
tree = Tree()
tree.update({"b": 1, "c": 2})
assert isinstance(tree, Tree)
assert tree.getval(["b"]) == 1
assert tree.getval(["c"]) == 2
