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flightdelayprediction's Introduction

我们的源代码请见: https://github.com/AllanJinYosoro/FlightDelayPrediction/tree/main

数据: 链接:https://pan.baidu.com/s/1Htpob4AQNRFFtDFVHP7Udw 提取码:wkoi --来自百度网盘超级会员V6的分享

其中名为flights的为原始数据,名为data_preprocessed的为预处理数据,parquet形式更方便python快速读取。

①初始预处理:/data/data processing.ipynb(其中需要的辅助文件均在同一文件夹下,生成的数据即data_preprocessed,可以直接用后者进行后续步骤) ②定期航班与巡回航班的区分:/data/circuit flight/dense_flight.py 与 /data/continuous flight/continuous_flight.py ③ARIMA模型设置:/model/ARIMA.py(可直接在其他文件中调用) ④ARIMA模型搭建与分析:/analysis/circuit.ipynb 与 /analysis/scheduled.ipynb ⑤TFT模型搭建与分析:/model/tft model.ipynb 与 /model/tft load.ipynb(后者可直接加载训练好的模型)

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