M5 competition

M5 competition项目是根据沃尔玛美国各个门店的销售数据（开放数据集），来对两个28天的时间段内的门店&商品的销售额进行预测

Github地址：https://github.com/Vincent-Yu-83/M5_competition

Table of Contents

1. 数据集介绍

• calendar.csv - Contains information about the dates on which the products are sold.(提供商品销售的日期信息)

• sales_train_validation.csv - Contains the historical daily unit sales data per product and store d_1 - d_1913

• sample_submission.csv - The correct format for submissions. Reference the Evaluation tab for more info.(提交文件样本文件)

• sell_prices.csv - Contains information about the price of the products sold per store and date.(门店的商品在某一天的价格信息)

• sales_train_evaluation.csv - Available once month before competition deadline. Will include sales d_1 - d_1941

• 数据集下载地址：https://www.wen1tech.com/datasets/M5_datasets.zip

2. analysis.py

• 基础数据分析

3. feature_engineering.ipynb

• 数据特征分析和提取

4. LightGBM_simple.py

• LGBM简单实现

5. LGBM.py

• LGBM分析数据并输出结果

6. LightGBM_poisson.ipynb

• LGBM实现泊松分布计算

7. LightGBM2.ipynb

• LGBM分析商品类别分布和预测

8. XGBoost.py

• XGBoost基础实现数据分析并输出结果

9. CatBoost.py

• CatBoost基础实现数据分析并输出结果

10. LGBoost.py

• LGBoost基础实现数据分析并输出结果

11. tabtransformer.py

• tabtransformer基础实现数据分析并输出结果

Getting Started

$ git clone https://github.com/Vincent-Yu-83/M5_competition.git
$ pip install jupyterlab
$ pip install ipykernel
$ pip install pytorch

Dependencies

• Python 3.11

• PyTorch 2.2.2