model.py

...
def fit_model(features, target):
    classifier = Pipeline(steps=[("select", SelectKBest(k=2)),
                                 ("clf", LogisticRegression())])
    classifier.fit(features, target)
    return classifier

def load_model(filename):
    ...

def save_model(classifier, filename):
    ...