def _test_basic(self):
X_train, y_train, X_test, y_test = twitter_reader.toNumpy()
X_train, y_train = self.get_sub_set_with_size([X_train, y_train], 50)
clf = LinearSVC(n_estimators=500)
clf.fit(X_train, y_train)
y_pred = clf.predict(X_test)
cm = confusion_matrix(y_test, y_pred)
print cm
def test_ratio(self):
dataset = twitter_reader.toNumpy()
for set_size in numpy.arange(100, 1100, 100):
self.run_ratio(dataset, set_size)
print
