def test_performance_with_tolerance(length):
concept_class = MonotoneConjunction(length)
performance = PerformanceOracle(concept_class, 100)
performance_with_tolerance = PerformanceOracleWithTolerance(
concept_class, 0)
random_func = tuple([choice([0, 1]) for _ in xrange(length)])
print performance.get_estimated_performance(random_func)
print performance_with_tolerance.get_estimated_performance(random_func)
print
def check_high_perf():
length = 40
concept_class = MonotoneConjunction(length)
perf = PerformanceOracleWithTolerance(concept_class, 0)
highest_perf_except_for_1 = 0
for i in xrange(10000000):
rep = tuple([choice([0, 1]) for _ in xrange(length)])
current_perf = perf.get_estimated_performance(rep)
if current_perf != 1:
highest_perf_except_for_1 = max(highest_perf_except_for_1, current_perf)
print highest_perf_except_for_1
def setUp(self):
self.tolerance_param = 0.00001
self.concept_class = Mock()
self.perf = PerformanceOracleWithTolerance(self.concept_class,
self.tolerance_param)
def get_perf_without_precomp(self, concept_class):
return PerformanceOracleWithTolerance(concept_class, self.tau)
