train_crf.py

def train_crf_model(train_sentences, train_labels, model_file='age_range.crfsuite'):
    train_features = [sent2features(sent) for sent in train_sentences]
    
    model = pycrfsuite.Trainer(verbose=True)

    for xseq, yseq in zip(train_features, train_labels):
        model.append(xseq, yseq)
        
    model.set_params({
        'c1': 1.0,
        'c2': 0.01,
        'max_iterations': 200,
        'feature.possible_transitions': True
    })
    
    model.train(model_file)