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3.4 KiB
3.4 KiB
第三届阿里云磐久智维算法大赛（亚军）
官网地址
官方数据地址
项目目录结构
├── Dockerfile
├── README.md
├── code
│ ├── catboost_fs.py +++++++++++++++++++++++++++++++ 模型训练代码
│ ├── generate_feature.py ++++++++++++++++++++++++++ 特征生成代码
│ ├── generate_pseudo_label.py ++++++++++++++++++++ 伪标签代码
│ ├── get_crashdump_venus_fea.py +++++++++++++++++++ 新数据特征生成代码
│ ├── requirements.txt +++++++++++++++++++++++++++++ python包版本
│ ├── stacking.py ++++++++++++++++++++++++++++++++++ 模型融合代码
│ └── utils.py +++++++++++++++++++++++++++++++++++++ 小工具脚本
├── data
│ ├── preliminary_a_test +++++++++++++++++++++++++++ 初赛A榜测试数据集
│ ├── preliminary_b_test +++++++++++++++++++++++++++ 初赛B榜测试数据集
│ └── preliminary_train ++++++++++++++++++++++++++++ 训练集数据
├── docker_push.sh +++++++++++++++++++++++++++++++++++++++++ Docker镜像构建、push脚本
├── feature
│ └── generation +++++++++++++++++++++++++++++++++++ 特征生成文件夹
├── log ++++++++++++++++++++++++++++++++++++++++++++++++++++ 日志文件夹
│ ├── catboost.log +++++++++++++++++++++++++++++++++ 模型运行日志
├── model ++++++++++++++++++++++++++++++++++++++++++++++++++ 模型文件
├── prediction_result ++++++++++++++++++++++++++++++++++++++ 模型预测结果文件夹
│ ├── cat_prob_result.csv ++++++++++++++++++++++++++ CATBOOST模型预测概率
│ ├── catboost_result.csv ++++++++++++++++++++++++++ CATBOOST模型预测结果
│ └── stacking_result.csv ++++++++++++++++++++++++++ 模型融合结果
├── run.log ++++++++++++++++++++++++++++++++++++++++++++++++ 代码运行日志
├── run.sh ++++++++++++++++++++++++++++++++++++++++++++++++ 代码运行脚本
├── tcdata ++++++++++++++++++++++++++++++++++++++++++++++++ 复赛测试集数据文件夹(具体文件请使用初赛相关文件更改文件名替换)
│ ├── final_crashdump_dataset_b.csv ++++++++++++++++ 复赛B榜新数据文件
│ ├── final_sel_log_dataset_b.csv ++++++++++++++++++ 复赛测试集日志文件
│ ├── final_submit_dataset_b.csv +++++++++++++++++++ 复赛测试集ID
│ └── final_venus_dataset_b.csv ++++++++++++++++++++ 复赛B榜新数据文件
├── user_data
│ └── tmp_data +++++++++++++++++++++++++++++++++++++ 临时文件
└── 答辩PPT
└── 悦智AI实验室_20220525.pdf
运行环境
Python版本为3.8，各个Python包版本见requirements.txt，使用如下命令即可安装：
pip install -r code/requirements.txt
构建镜像运行代码
构建镜像
docker build -t [你的镜像仓库]:[TAG] .
运行镜像
docker run [你的镜像ID] sh run.sh
push 镜像
docker push [你的仓库地址]:[TAG]
运行&push 镜像
bash docker_push.sh
运行代码
bash run.sh
终榜亚军
