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AiLearning-Theory-Applying
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机器学习竞赛实战_优胜解决方案/滴滴——预估到达时间/README.md
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# README
7th/Top1%，提供答疑
**7th/Top1%，提供答疑**
![1628602069041](assets/1628602069041.png)
也能做到前5，但是没必要
**也能做到前5，但是没必要**
![1628602545539](assets/1628602545539.png)
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持续更新中...
### 解题思路
### 1.解题思路
[预估到达时间解题思路.pdf](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4%E8%A7%A3%E9%A2%98%E6%80%9D%E8%B7%AF.pdf)
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### Data
### 2. 数据说明
由于滴滴数据保密协议，博主也无法找到可开放数据及数据地址，故无法提供。
- 由于滴滴数据保密协议，博主也无法找到可开放数据及数据地址，故无法提供。
- 数据来自滴滴出行，英文（Data source: Didi Chuxing），数据出处：[https://gaia.didichuxing.com](https://gaia.didichuxing.com/)
### Features
### 3. 特征说明
![1628670345575](assets/1628670345575.png)
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### Model
### 4. 模型说明
- DCN模型
- [DCN模型](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
- ![1628669063602](assets/1628669063602.png)
- WDR模型
- [WDR模型](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/WD_128544)
- ![1628669073291](assets/1628669073291.png)
- LGB模型
- ![1628669152380](assets/1628669152380.png)
### 推荐工具
### 5. 推荐工具
- [智能钛Notebook-2.4.0-tf](https://console.cloud.tencent.com/tione/notebook/instance)
- [腾讯云服务器](https://console.cloud.tencent.com/cvm/instance/index)
### 说明
### 6. 环境配置和所需依赖库
- scikit-learn
- tqdm
- pandarallel
- joblib
- lightgbm
- pandas
- numpy
- keras_radam
- tensorFlow-gpu=2.4.0
### 7. 文件说明
- [DCN_12953](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953)
- DCN模型，线上分数0.12953
- dcn_model/[dcn_model.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/dcn_model.py)：模型代码
- dcn_model/[main.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/main.py)：主函数，训练和预测
- dcn_model/[process.py](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/dcn_model/process.py)：特征预处理
- dcn_model/[model_h5](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/DCN_12953/model_h5)：存放处理信息，不影响模型结果
- [WD_128544](https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%BB%B4%E6%BB%B4%E2%80%94%E2%80%94%E9%A2%84%E4%BC%B0%E5%88%B0%E8%BE%BE%E6%97%B6%E9%97%B4/WD_128544)
- WD模型，线上分数0.128544
- 其他同上
### 8. 其他说明
- 数据来自滴滴出行，英文（Data source: Didi Chuxing），数据出处：[https://gaia.didichuxing.com](https://gaia.didichuxing.com/)
- 代码属于公司所有，不能提供最优代码
- 感谢[@xbder](https://github.com/xbder)、[@AiIsBetter](https://github.com/AiIsBetter)

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