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41 lines
1.2 KiB
41 lines
1.2 KiB
# README
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19th/Top2%，提供答疑
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<https://www.kaggle.com/c/indoor-location-navigation>
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### 推荐notebook工具
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- kaggle自带的notebook
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- [智能钛Notebook-2.4.0-tf](https://console.cloud.tencent.com/tione/notebook/instance)
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### How to run the code
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1. 下载数据到input文件夹
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2. floor预测代码
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part1 数据预处理
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运行code/wifi-features.ipynb
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运行code/create-unified-wifi-features-example.ipynb
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part2 深度学习模型
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运行code/floor-model-blstm.ipynb
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3. 坐标预测代码
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part1 数据预处理
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运行code/wifi-label-encode.ipynb
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运行code/data_abstract_sensor.ipynb
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运行code/data_abstract_wifi.ipynb
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运行code/gen_accl.ipynb
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part2 深度学习模型
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运行code/lstm-wifi-encode-wifi.ipynb 仅使用wifi数据预测
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运行code/lstm-wifi-encode-wifi-sensor.ipynb 使用wifi+sensor数据预测
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4. 结果融合
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运行code/combine_v1.ipynb 模型线性融合
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5. 后处理
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运行code/post_process.ipynb
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6. 规则预测代码
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运行code/rules_infer.ipynb
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7. 结果融合
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运行code/combine_v2.ipynb 模型线性融合得到最终final.csv预测文件 |