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benjas
fdbc0df490
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4 years ago | |
|---|---|---|
| .. | ||
| assets | 4 years ago | |
| code | 4 years ago | |
| input/indoor-location-train-waypoints | 4 years ago | |
| Indoor解题思路.pdf | 4 years ago | |
| README.md | 4 years ago | |
README.md
README
19th/Top2%，提供答疑
https://www.kaggle.com/c/indoor-location-navigation
推荐notebook工具
- kaggle自带的notebook
- 智能钛Notebook-2.4.0-tf
How to run the code
- 下载数据到input文件夹
- floor预测代码 part1 数据预处理 运行code/wifi-features.ipynb 运行code/create-unified-wifi-features-example.ipynb part2 深度学习模型 运行code/floor-model-blstm.ipynb
- 坐标预测代码 part1 数据预处理 运行code/wifi-label-encode.ipynb 运行code/data_abstract_sensor.ipynb 运行code/data_abstract_wifi.ipynb 运行code/gen_accl.ipynb part2 深度学习模型 运行code/lstm-wifi-encode-wifi.ipynb 仅使用wifi数据预测 运行code/lstm-wifi-encode-wifi-sensor.ipynb 使用wifi+sensor数据预测
- 结果融合 运行code/combine_v1.ipynb 模型线性融合
- 后处理 运行code/post_process.ipynb
- 规则预测代码 运行code/rules_infer.ipynb
- 结果融合 运行code/combine_v2.ipynb 模型线性融合得到最终final.csv预测文件