print "SGD Classifier"
sgd = SGDTextClassifier(train_reviews,
train_labels,
test_texts=test_reviews,
test_labels=test_labels)
#train_error = sgd.get_training_error()
#test_error = sgd.get_test_error()
#print "Training error: " + str(train_error)
#print "Test error: " + str(test_error)
sgd.set_bag_of_ngrams()
sgd.grid_search_cv(verbose=0, n_jobs=4)
print "Logistic classifier"
sgd = LogisticClassifier()
sgd.set_training_data(train_reviews, train_labels)
sgd.set_test_data(test_reviews, test_labels)
sgd.set_bag_of_ngrams()
sgd.train()
train_error = sgd.get_training_error()
test_error = sgd.get_test_error()
print "Training error: " + str(train_error)
print "Test error: " + str(test_error)
print "SVM classifier"
sgd = SVMClassifier()
sgd.set_training_data(train_reviews, train_labels)
sgd.set_test_data(test_reviews, test_labels)
sgd.set_bag_of_ngrams()
print "Test error: " + str(test_error)
print "SGD Classifier"
sgd = SGDTextClassifier(train_reviews, train_labels,
test_texts=test_reviews, test_labels=test_labels)
#train_error = sgd.get_training_error()
#test_error = sgd.get_test_error()
#print "Training error: " + str(train_error)
#print "Test error: " + str(test_error)
sgd.set_bag_of_ngrams()
sgd.grid_search_cv(verbose=0, n_jobs=4)
print "Logistic classifier"
sgd = LogisticClassifier()
sgd.set_training_data(train_reviews, train_labels)
sgd.set_test_data(test_reviews, test_labels)
sgd.set_bag_of_ngrams()
sgd.train()
train_error = sgd.get_training_error()
test_error = sgd.get_test_error()
print "Training error: " + str(train_error)
print "Test error: " + str(test_error)
print "SVM classifier"
sgd = SVMClassifier()
sgd.set_training_data(train_reviews, train_labels)
sgd.set_test_data(test_reviews, test_labels)
sgd.set_bag_of_ngrams()
