def test_get_random_hypothesis(self):
self.configurations["EVOLVE_HMM"] = True
self.configurations["EVOLVE_RULES"] = True
self.initialise_segment_table("plural_english_segment_table.txt")
data = ['kats', 'dogz', 'kat', 'dog']
rand_hypothesis = Hypothesis.get_random_hypothesis(data)
log_hypothesis(rand_hypothesis)
def test_representative_random_hypothesis_rate(self):
# Check how often random hypothesis represents the data
self.initialise_segment_table("plural_english_segment_table.txt")
data = ['kats', 'dogz', 'kat', 'dog']
total_hypotheses = 0
energy = float("inf")
while energy == float("inf"):
rand_hypothesis = Hypothesis.get_random_hypothesis(data)
energy = rand_hypothesis.get_energy()
log_hypothesis(rand_hypothesis)
total_hypotheses += 1
print("Total hypotheses generated: ", total_hypotheses)
print()
log_hypothesis(rand_hypothesis)
def generate_population(self, population_size):
return [
Hypothesis.get_random_hypothesis(self.simulation)
for _ in range(population_size)
]
