From 14161f3f2d46a00bd9d36cc96e44212577d99e6a Mon Sep 17 00:00:00 2001 From: benjas <909336740@qq.com> Date: Tue, 10 Aug 2021 15:10:39 +0800 Subject: [PATCH] Add. How to run the code --- .../Indoor Location & Navigation/README.md | 30 ++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/机器学习竞赛实战_优胜解决方案/Indoor Location & Navigation/README.md b/机器学习竞赛实战_优胜解决方案/Indoor Location & Navigation/README.md index 6044578..41eef41 100644 --- a/机器学习竞赛实战_优胜解决方案/Indoor Location & Navigation/README.md +++ b/机器学习竞赛实战_优胜解决方案/Indoor Location & Navigation/README.md @@ -6,8 +6,36 @@ -推荐使用工具： +### 推荐notebook工具 - kaggle自带的notebook - [智能钛Notebook-2.4.0-tf](https://console.cloud.tencent.com/tione/notebook/instance) + + +### How to run the code + +1. 下载数据到input文件夹 +2. 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 +3. 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 +4. 结果融合 + 运行code/combine_v1.ipynb 模型线性融合 +5. 后处理 + 运行code/post_process.ipynb +6. 规则预测代码 + 运行code/rules_infer.ipynb +7. 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 \ No newline at end of file