train_tensorflow.py 文件源码

def get_7d_all(user_id):
    data_paths = [
                     './features/tensorflow_model/np_tiny_7_model/',
                     './features/tensorflow_model/np_tiny_7_exp_model/',

                     './features/tensorflow_model/np_tiny_7_filtered_model/',
                     './features/tensorflow_model/np_tiny_7_filtered_exp_model/',

                     './features/tensorflow_model/np_tiny_7_f2_model/',
                     './features/tensorflow_model/np_tiny_7_f2_exp_model/',
                 ]
    def get_predict_val(dataset):
        return dataset['y_p#%d'%user_id][-1]
    def get_mid_val(day):
        all_dataset = map(lambda path:pd.DataFrame.from_csv(path+'%d.csv'%day),data_paths)
        val_list = map(get_predict_val,all_dataset)
        val = np.median(val_list)
        print (user_id,day,val)
        return val
    return map(get_mid_val,range(1,32))