def test_maxent(self):
print("MaxEntClassifier")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("maxiter = %s" % self.max_iter)
from spa.classifiers import MaxEntClassifier
m = MaxEntClassifier(self.max_iter)
m.train(self.train_data, self.train_labels, self.best_words)
print("MaxEntClassifier is testing ...")
classify_results = []
for data in self.test_data:
classify_results.append(m.classify(data))
print("MaxEntClassifier tests over.")
filepath = "f_runout/MaxEnt-%s-train-%d-test-%d-f-%d-maxiter-%d-%s.xls" % \
(self.type,
self.train_num, self.test_num,
self.feature_num, self.max_iter,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
self.write(filepath, classify_results, 1)
def test_maxent_iteration(self):
print("MaxEntClassifier iteration")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("maxiter = %s" % self.max_iter)
from spa.classifiers import MaxEntClassifier
m = MaxEntClassifier(self.max_iter)
iter_results = m.test(self.train_data, self.train_labels, self.best_words, self.test_data)
filepath = "f_runout/MaxEnt-iteration-%s-train-%d-test-%d-f-%d-maxiter-%d-%s.xls" % \
(self.type,
self.train_num,
self.test_num,
self.feature_num,
self.max_iter,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
results = []
for i in range(len(iter_results)):
try:
results.append(get_accuracy(self.test_labels, iter_results[i], self.parameters))
except ZeroDivisionError:
print("ZeroDivisionError")
Write2File.write_contents(filepath, results)
def test_maxent_iteration(self):
print("MaxEntClassifier iteration")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("maxiter = %s" % self.max_iter)
from spa.classifiers import MaxEntClassifier
m = MaxEntClassifier(self.max_iter)
iter_results = m.test(self.train_data, self.train_labels,
self.best_words, self.test_data)
filepath = "f_runout/MaxEnt-iteration-%s-train-%d-test-%d-f-%d-maxiter-%d-%s.xls" % \
(self.type,
self.train_num,
self.test_num,
self.feature_num,
self.max_iter,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
results = []
for i in range(len(iter_results)):
try:
results.append(
get_accuracy(self.test_labels, iter_results[i],
self.parameters))
except ZeroDivisionError:
print("ZeroDivisionError")
Write2File.write_contents(filepath, results)
def test_maxent(self):
print("MaxEntClassifier")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("maxiter = %s" % self.max_iter)
from spa.classifiers import MaxEntClassifier
m = MaxEntClassifier(self.max_iter)
m.train(self.train_data, self.train_labels, self.best_words)
print("MaxEntClassifier is testing ...")
classify_results = []
for data in self.test_data:
classify_results.append(m.classify(data))
print("MaxEntClassifier tests over.")
filepath = "f_runout/MaxEnt-%s-train-%d-test-%d-f-%d-maxiter-%d-%s.xls" % \
(self.type,
self.train_num, self.test_num,
self.feature_num, self.max_iter,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
self.write(filepath, classify_results, 1)