from sklearn.utils import shuffle
from sklearn.model_selection import cross_val_score
from tqdm import tqdm
from PIL import Image
from cv2 import cv2
sys.path.append(os.path.dirname(__file__))
### Custom libs. ###
from user import User
from train import Trainer
from sql_client import SqlClient
### Instanciation du classificateur. ###
pp = pprint.PrettyPrinter(indent=2)
classifier = Trainer()
users_model_path = os.path.join(os.path.dirname(__file__),
'./models/users_sample.model')
if __name__ == "__main__":
"""
INSERT TESTS HERE
"""
"""
END INSERT TESTS
"""
### Classe un utilisateur en influenceur/non influenceur. ###
classifier.classify_user()
