def initialize_model(self):
algorithm = model_config.get("algorithm")
c1 = float(model_config.get("c1"))
c2 = float(model_config.get("c2"))
max_iterations = int(model_config.get("max_iterations"))
self.model = sklearn_crfsuite.CRF(algorithm=algorithm,
c1=c1,
c2=c2,
max_iterations=max_iterations,
all_possible_transitions=True)
print("-> 完成模型初始化")
def load_model(self, model_name ="model"):
model_path = model_config.get("model_path").format(model_name)
joblib.load(model_path)
def save_model(self, name='model'):
model_path = model_config.get("model_path").format(name)
joblib.dump(self.model, model_path)
print("-> 完成模型存储")
