class Retarded:
def __init__(self,model_path='demo2.pkl'):
try:
with open(model_path,'rb') as f:
self.model = pickle.load(f)
except FileNotFoundError:
print("模型加载失败.活模型文件不存在")
return
def predict(self,y):
y1 = pd.DataFrame([y])
print(self.model.predict(y1))
if __name__ == '__main__':
ai = Retarded()
while True:
y = input("请输入年份")
ai.predict(y)
0626作业
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