elif choice == '8':
task = psx.SubgroupDiscoveryTask(data,
target,
searchspace,
resultSetSize=[20],
depth=2,
qf=psx.graph_target.EdgeSurplus(),
minQuality=-np.inf)
measure = 'EdgeSurplus'
else:
print("Invalid option.")
measure = 'SI'
search_time = []
search_time_s = time.time()
result = psx.BeamSearch(beamWidth=30).execute(task)
search_time.append(time.time() - search_time_s)
Result.append(result)
print(result)
# save key variables
cwd = os.getcwd()
file = os.path.join(cwd, *['results', 'si_' + name + measure + '_results.pkl'])
Obj = (search_time, Result)
f = open(file, 'wb')
pickle.dump(Obj, f)
f.close()
searchspace = psx.createSelectors(data)
print(searchspace)
print(len(searchspace))
task = psx.SubgroupDiscoveryTask(
data,
target,
searchspace,
resultSetSize=[6, 8],
depth=2,
qf=psx.graph_target.SubjectiveInterestingness())
search_time_s = time.time()
# result = psx.BeamSearch(beamWidth=10).execute_in_bicases(task)
result = psx.BeamSearch(beamWidth=10).execute_in_bicases_constraints(task)
search_time.append(time.time() - search_time_s)
Result.append(result)
print(result)
# save key variables
cwd = os.getcwd()
file = os.path.join(
cwd, *['results', 'scalability_' + name + '_varyingNumAttr.pkl'])
Obj = (testing_list, search_time)
f = open(file, 'wb')
pickle.dump(Obj, f)
f.close()
searchspace = psx.createSelectors(data)
print(searchspace)
print(len(searchspace))
task = psx.SubgroupDiscoveryTask(
data,
target,
searchspace,
resultSetSize=[6, 8],
depth=2,
qf=psx.graph_target.SubjectiveInterestingness())
search_time = []
search_time_s = time.time()
result = psx.BeamSearch(beamWidth=10).execute_in_bicases(task)
# result = psx.BeamSearch(beamWidth=10).execute_in_bicases_constraints(task)
search_time.append(time.time() - search_time_s)
Result.append(result)
print(result)
# save key variables
cwd = os.getcwd()
file = os.path.join(cwd, *['results', 'bi_' + name + '_results.pkl'])
Obj = (x_rows, x_columns, rowbeans_index, colbeans_index, lambda_dict,
bg_time, search_time, Result)
f = open(file, 'wb')
pickle.dump(Obj, f)
f.close()