def test_MMW_constructor(self):
options = self._get_base_options()
xhat = ciutils.read_xhat(self.xhat_path)
MMW = MMWci.MMWConfidenceIntervals(self.refmodelname,
options['kwoptions'],
xhat,
options['num_batches'], batch_size = options["batch_size"], start = options['kwoptions']['num_scens'])
def test_MMW_running(self):
options = _get_base_options()
xhat = ciutils.read_xhat(self.xhat_path)
MMW = MMWci.MMWConfidenceIntervals(refmodelname, options['opt'], xhat,
options['num_batches'])
r = MMW.run()
s = round_pos_sig(r['std'], 2)
bound = round_pos_sig(r['gap_inner_bound'], 2)
self.assertEqual((s, bound), (43.0, 280.0))
def test_MMW_running(self):
options = self._get_base_options()
xhat = ciutils.read_xhat(self.xhat_path)
MMW = MMWci.MMWConfidenceIntervals(self.refmodelname,
options['opt'],
xhat,
options['num_batches'],
batch_size=options["batch_size"],
start=options['opt']['num_scens'])
r = MMW.run()
s = round_pos_sig(r['std'], 2)
bound = round_pos_sig(r['gap_inner_bound'], 2)
self.assertEqual((s, bound), (1.5, 96.0))
if args.batch_size == None:
args.batch_size = args.num_scens
refmodel = modelpath #Change this path to use a different model
options = {"EF-2stage": True,# 2stage vs. mstage
"start": False,
"EF_solver_name": args.solver_name,
"EF_solver_options": solver_options,
"num_scens": args.num_scens} #Are the scenario shifted by a start arg ?
#should we accept these as arguments?
num_batches = args.num_batches
batch_size = args.batch_size
mmw = mmw_ci.MMWConfidenceIntervals(refmodel, options, xhat, num_batches, batch_size=batch_size,
verbose=True)
if args.alpha == None:
print('\nNo alpha given, defaulting to alpha = 0.95. To provide an alpha try:\n')
print('python -m mpisppy.confidence_intervals.mmw_conf {} {} {} {} --alpha 0.97 --MMW-num-batches {} --MMW-batch-size {} --num-scens {}\
\n'.format(sys.argv[0], args.instance, args.xhatpath, args.solver_name,
args.num_batches, args.batch_size, args.num_scens))
alpha = 0.95
else:
alpha = float(args.alpha)
r = mmw.run(confidence_level=alpha, objective_gap = args.objective_gap)
global_toc(r)
def test_MMW_constructor(self):
options = _get_base_options()
xhat = ciutils.read_xhat(self.xhat_path)
MMW = MMWci.MMWConfidenceIntervals(refmodelname, options['opt'], xhat,
options['num_batches'])