def tests_enumerate():
'Return a list of possible contexts.'
tests = list()
for (ob, ob_truth) in g.truth.items():
for tr in args.trainings:
for ho in args.horizons:
for i in forecast.nows(len(ob_truth), tr, ho, args.teststride):
tests.append(forecast.Context(ob_truth, ob, tr, ho, i,
minfinite=0.8, minrows=8))
return tests
def tests_enumerate():
'Return an iterable of possible contexts, given args and truth.'
tests = list()
truedata_ct = len(next(truth.items())[1])
for tr in args.training:
for ho in args.horizon:
# Eenumerate every possible now with sufficient time before for the
# training period and sufficient time after for at least one test.
for i in forecast.nows(truedata_ct, tr, ho, args.teststride):
for (obk, truedata) in truth.items():
# Outbreaks in the inner loop to they can share trim and shift.
assert (truedata_ct == len(truedata))
tests.append(forecast.Context(truth_b.value, obk, tr, ho, i))
return tests
def tests_enumerate():
'Return an iterable of possible contexts, given args and truth.'
tests = list()
truedata_ct = len(next(truth.items())[1])
for tr in args.training:
for ho in args.horizon:
# Eenumerate every possible now with sufficient time before for the
# training period and sufficient time after for at least one test.
for i in forecast.nows(truedata_ct, tr, ho, args.teststride):
for (obk, truedata) in truth.items():
# Outbreaks in the inner loop to they can share trim and shift.
assert (truedata_ct == len(truedata))
tests.append(
forecast.Context(truth_b.value, obk, tr, ho, i))
return tests
def tests_enumerate():
'Return a list of possible contexts.'
tests = list()
for (ob, ob_truth) in g.truth.items():
for tr in args.trainings:
for ho in args.horizons:
for i in forecast.nows(len(ob_truth), tr, ho, args.teststride):
tests.append(
forecast.Context(ob_truth,
ob,
tr,
ho,
i,
minfinite=0.8,
minrows=8))
return tests