def get_item_labels(item):
if add_parents:
all_labels = set(item['labels'])
for label in item['labels']:
for l2 in disease_label_table.get_inferred_labels(label):
all_labels.add(l2)
return list(all_labels)
else:
return item['labels']
def get_item_labels(item):
if add_parents:
all_labels = set(item['labels'])
for label in item['labels']:
for l2 in disease_label_table.get_inferred_labels(label):
all_labels.add(l2)
return list(all_labels)
else:
return item['labels']
def best_guess(classifier, X):
probs = classifier.predict_proba(X)[0]
p_max = max(probs)
result = {}
for i,p in enumerate(probs):
cutoff_ratio = 0.65
parents = disease_label_table.get_inferred_labels(classifier.classes_[i])
if p >= p_max * cutoff_ratio:
result[i] = max(p, result.get(i, 0))
for i2, label in enumerate(classifier.classes_):
if label in parents:
result[i2] = max(p, probs[i2], result.get(i2, 0))
return result.items()
def best_guess(self, X):
probs = self.classifier.predict_proba(X)[0]
p_max = max(probs)
result = {}
for i, p in enumerate(probs):
cutoff_ratio = self.cutoff_ratio
parents = disease_label_table.get_inferred_labels(
self.classifier.classes_[i])
if p >= p_max * self.cutoff_ratio:
result[i] = max(p, result.get(i, 0))
for i2, label in enumerate(self.classifier.classes_):
if label in parents:
result[i2] = max(p, probs[i2], result.get(i2, 0))
return result.items()
def test_inference(self):
import disease_label_table
self.assertSetEqual(set(['Avian Influenza', 'Influenza']),
set(disease_label_table.get_inferred_labels('Avian Influenza H7N9')))
