def __init__(self, parameters):
self.params = parameters
# make sure nobody accidentally added new parameters (by e.g. spelling mistakes)
assert len(parameters) == len(utils_parameters.get_parameter_dict())
# get the input domain on which the utility is defined
self.input_domain = self.initialise_input_domain()
# get a user with preferences over the input domain
self.user = self.initialise_user()
# get an acquirer which will pick the queries
self.acquirer = self.initialise_acquirer()
# initialise the Gaussian process
self.gp = self.initialise_gaussian_process()
# initialise dataset
self.dataset = self.initialise_dataset()
self.curr_x_max = None
self.curr_x_new = None
self.visualiser = self.initialise_visualiser()
for prior_type, ref_min, ref_max in [['zero', False, False],
['linear-zero', 'full', 'full']]:
for utl_noise in [0.01, 0.1]:
plt.subplot(2, 2, plt_idx)
# loop through query types
for query_type in [
'pairwise', 'clustering', 'ranking', 'clustering4', 'top_rank'
]:
# get the parameters
params = utils_parameters.get_parameter_dict(
num_objectives=num_obj,
query_type=query_type,
utility_noise=utl_noise)
params['num queries'] = num_queries
params['gp prior mean'] = prior_type
params['reference min'] = ref_min
params['reference max'] = ref_max
if params['query type'] == 'clustering4':
params['query type'] = 'clustering'
params['num clusters'] = 4
params['seed'] = start_seed
utilities = np.zeros((num_iter, params['num queries']))
for virtcomps in [
'none', 'VC grid', 'VC pcs', 'VC grid begin',
'VC pcs begin'
]:
# 5 is the number of diff query types;
# 50 is the number of queries we ask
utl_vals = np.zeros((5 * num_iter, 50))
iter_idx = 0
for query_type in [
'pairwise', 'clustering', 'ranking', 'top_rank'
]:
params = utils_parameters.get_parameter_dict(
query_type=query_type,
num_objectives=num_obj,
utility_noise=noise_level)
if virtcomps == 'VC grid':
params['VC grid'] = True
elif virtcomps == 'VC pcs begin':
params['VC grid begin'] = True
elif virtcomps == 'VC pcs':
params['VC pcs'] = True
elif virtcomps == 'VC pcs begin':
params['VC pcs begin'] = True
plt.title(query_type)
params['seed'] = start_seed