#train
1.code/train_model.ipynb
config = tf.ConfigProto() -> config =  tf.compat.v1.ConfigProto()
session = tf.Session(config=config) ->session = tf.compat.v1.Session(config=config)
model_func=model_func_dic.get(choose_model+choonse_time_bin) -> model_func=model_func_dic.get(choose_model+"-"+choonse_time_bin)
model_utils.train_model(model, train_x, train_y, val_x, val_y, trainEpochs, trainBatchSize,modelName=model_name,outDir="input/out/", binSize=choonse_time_bin)

2.code/model_utils.py
def train_model函数中的所有的val_acc ->val_accuracy





