def test_svm(self):
print("SVMClassifier")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("C = %s" % self.C)
from spa.classifiers import SVMClassifier
svm = SVMClassifier(self.train_data, self.train_labels,
self.best_words, self.C)
classify_labels = []
print("SVMClassifier is testing ...")
for data in self.test_data:
classify_labels.append(svm.classify(data))
print("SVMClassifier tests over.")
filepath = "f_runout/SVM-%s-train-%d-test-%d-f-%d-C-%d-%s-lin.xls" % \
(self.type,
self.train_num, self.test_num,
self.feature_num, self.C,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
self.write(filepath, classify_labels, 2)
def test_svm(self):
print("SVMClassifier")
print("---" * 45)
print("Train num = %s" % self.train_num)
print("Test num = %s" % self.test_num)
print("C = %s" % self.C)
from spa.classifiers import SVMClassifier
svm = SVMClassifier(self.train_data, self.train_labels, self.best_words, self.C)
classify_labels = []
print("SVMClassifier is testing ...")
for data in self.test_data:
classify_labels.append(svm.classify(data))
print("SVMClassifier tests over.")
filepath = "f_runout/SVM-%s-train-%d-test-%d-f-%d-C-%d-%s-lin.xls" % \
(self.type,
self.train_num, self.test_num,
self.feature_num, self.C,
datetime.datetime.now().strftime(
"%Y-%m-%d-%H-%M-%S"))
self.write(filepath, classify_labels, 2)