def generate_bulk_scenarios(the_conn, cursor):
# Test a number of issues...
for the_num_issues in range(2, 6):
# In some domain size...
for the_domain_size in range(2, 10):
# For some number of hyper-rectangles...
for the_num_constraints in range(2, 10):
cursor.execute("SELECT COUNT(*) FROM scenarios WHERE num_issues = " + str(the_num_issues) +
" AND domain_size = " + str(the_domain_size) + " AND num_constraints = " + str(the_num_constraints))
data = cursor.fetchall()
# Repeat the experiments a few times... (only as necessary)
for t in range(0, max(0, 10 - data[0][0])):
# Generate a uniform random scenario
scenario_id = scenario_factory.generate_uniform_random_scenario(the_num_issues, the_domain_size, the_num_constraints)
# Print something so we know that there is progress
print("t = " + str(t) + ", num_issues = " + str(the_num_issues) + ", domain_size = " + str(the_domain_size) +
", num_constraints = " + str(the_num_constraints) + ". Id = ", scenario_id)
cursor.execute("INSERT INTO scenarios (xml_file, num_issues, domain_size, num_constraints) "
"VALUES (" + "'" + scenario_id + "'" + "," + str(the_num_issues) + "," + str(the_domain_size) + ", " + str(the_num_constraints) + ")")
the_conn.commit()
# To create a polynomial kernel we need the following imports.
from skopt.learning import GaussianProcessRegressor
from skopt.learning.gaussian_process.kernels import Exponentiation
from skopt.learning.gaussian_process.kernels import DotProduct
from skopt.learning.gaussian_process.kernels import Sum
from skopt.learning.gaussian_process.kernels import Product
from skopt.learning.gaussian_process.kernels import ConstantKernel
random_scenario = False
if random_scenario:
# Generate random scenario
num_issues = 2
domain_size = 5
num_constraints = 8
scenario_id = generate_uniform_random_scenario(num_issues, domain_size,
num_constraints)
else:
# Read scenario
scenario_id = '17D8316EE9'
num_issues = 1
domain_size = 10
num_constraints = 5
print('Bayesian mediator social for scenario id = ', scenario_id)
scenario = ET.parse(
util.get_scenario_path(num_issues, domain_size, num_constraints) +
scenario_id + '.xml')
u_funcs = xml.get_ufuns(scenario)
# TODO: data structure for bounds are inconsistent among multiple mediators. Should have the same data structure everywhere.
lower_bounds = [