def populate_features(self):
tasks = Classifier.populate_features(self)
# Add classifier tasks
clf1 = LogisticRegression(solver='lbfgs',
multi_class='multinomial',
max_iter=100,
random_state=1)
clf2 = RandomForestClassifier(n_estimators=100, criterion='entropy')
clf3 = SVC(kernel='linear', probability=True)
tasks.append(('clf',
VotingClassifier(estimators=[('lr', clf1), ('rf', clf2),
('svm', clf3)],
voting='soft',
weights=[4, 2, 5])))
self.pipeline = Pipeline(tasks)
def populate_features(self):
tasks = Classifier.populate_features(self)
tasks.append(('clf',
RandomForestClassifier(n_estimators=100,
criterion='entropy')))
self.pipeline = Pipeline(tasks)
def populate_features(self):
tasks = Classifier.populate_features(self)
tasks.append(('clf', LinearSVC()))
self.pipeline = Pipeline(tasks)