def load_config(model_name):
print('loading csv file ...')
global config
config_file_path = Config.getPath('models') + '/' + model_name + '-config.joblib'
config = ClassifierFactory.getConfig(joblib_file=config_file_path)
#Two classes - Fake=0, Reliable=1
config.set('num_target_tokens',2)
def load_config(**kwargs):
print('loading csv file ...')
global config
df = pd.read_csv(Config.getPath('data') + '/' + TRAINING_DATA)
df = df.sample(50000)
X = df['question_text']
Y = df['target']
print('preparing configuration...')
config = ClassifierFactory.getConfig(X, Y, json_file=None, **kwargs)
#Two classes - Fake=0, Reliable=1
config.set('num_target_tokens', 2)