Code for the contest “华为云大数据挑战赛”——船运到达时间预测
├─data
│ ├─GPS.csv
│ ├─loadingOrderEvent.csv
│ ├─testData.csv
│ └─preprocessed
│ ├─backup
│ ├─order_cache
│ └─trace_specific_dataset
├─experiment
│ ├─baseline.ipynb
│ ├─data_selection.ipynb
│ └─directpredict.ipynb
├─models
├─train.py
└─predict.py
In consistent with HUAWEI ModelArts Platform's configuration
- python 3.7
- Tensorflow 2.0.0-beta1
- xgboost 1.1.0
- sklearn 0.23.1
- lightgbm 2.3.0
- Yifan Mao
- Xin Wei
- Zian Su
- Wang et al., Didi AI Labs, Learning to Estimate the Travel Time
- Saet et al., Predicting Estimated Time of Arrival for Commercial Flights