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lvlvhao
dc1d9b9e30
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2 years ago | |
|---|---|---|
| Lightgbm.py | 2 years ago | |
| README.txt | 2 years ago | |
| data_process.py | 2 years ago | |
| predict.py | 2 years ago | |
README.txt
使用LightGBM模型进行新品销量预测
准备
前提: Python 3.6 and Lightgbm
1.pip install lightgbm
2.dataset,Move train.csv,val.csv,test.csv,predict.csv to ./data/
1.数据处理
运行：python3 data_process.py
输入是数据的train.csv,val.csv,test.csv路径
输出是对数据的处理，可以直接作为Lightgbm的输入
2.训练
运行：python3 Lightgbm.py
输入是数据train.csv,val.csv,test.csv的路径
输出是测试集上的wmape
3.预测
运行：python3 predict.py
输入是预测数据predict.csv的路径
输出是使用训练好的模型预测的结果
使用机器学习模型预测新产品上市后一段时间后的销售情况，包括数据处理、模型训练和预测模块。新品销量预测可以辅助供应链中生产计划、库存管理和车辆调度等环节进行决策。
Python