def choose_image(annotator, items_map, annotators):
pref_items = preferred_items(annotator, items_map, annotators)
shuffle(pref_items) # useful for argmax case as well in the case of ties
if pref_items:
if random() < crowd_bt.EPSILON:
return pref_items[0]
else:
return crowd_bt.argmax(
lambda i: crowd_bt.expected_information_gain(
annotator.alpha, annotator.beta, annotator.prev.mu,
annotator.prev.sigma_sq, i.mu, i.sigma_sq), pref_items)
else:
return None
def choose_next(annotator):
items = preferred_items(annotator)
shuffle(items) # useful for argmax case as well in the case of ties
if items:
if random() < crowd_bt.EPSILON:
return items[0]
else:
return crowd_bt.argmax(lambda i: crowd_bt.expected_information_gain(
annotator.alpha,
annotator.beta,
annotator.prev.mu,
annotator.prev.sigma_sq,
i.mu,
i.sigma_sq), items)
else:
return None
def choose_next(annotator, annotator_category):
items = preferred_items(annotator, annotator_category)
shuffle(items) # useful for argmax case as well in the case of ties
if items:
if random() < crowd_bt.EPSILON:
return items[0]
else:
return crowd_bt.argmax(
lambda i: crowd_bt.expected_information_gain(
annotator_category.alpha, annotator_category.beta,
annotator_category.prev.get_category(annotator_category.
category_id).mu,
annotator_category.prev.get_category(
annotator_category.category_id).sigma_sq, i.mu, i.
sigma_sq), items)
else:
return None