- 新增中国企业员工缺勤模拟数据集生成脚本(generate_dataset.py),覆盖7个行业、180家企业、2600名员工 - 重构 config.py,更新特征字段为中文名称,调整目标列、员工ID、行业类型等配置 - 重构 clustering.py,简化聚类逻辑,更新聚类特征和群体命名(高压通勤型、健康波动型等) - 重构 feature_mining.py,更新相关性分析和群体比较维度(按行业、班次、婚姻状态等) - 新增 model_features.py 定义模型训练特征 - 更新 preprocessing.py 和 train_model.py 适配新数据结构 - 更新各 API 路由默认参数(model: random_forest, dimension: industry) - 前端更新主题样式和各视图组件适配中文字段 - 更新系统名称为 China Enterprise Absence Analysis System
24 lines
522 B
JSON
24 lines
522 B
JSON
{
|
|
"name": "absenteeism-analysis-frontend",
|
|
"version": "1.0.0",
|
|
"description": "员工缺勤分析与预测系统前端",
|
|
"type": "module",
|
|
"scripts": {
|
|
"dev": "vite",
|
|
"build": "vite build",
|
|
"preview": "vite preview"
|
|
},
|
|
"dependencies": {
|
|
"@element-plus/icons-vue": "^2.3.2",
|
|
"axios": "^1.6.2",
|
|
"echarts": "^5.4.3",
|
|
"element-plus": "^2.4.4",
|
|
"vue": "^3.4.0",
|
|
"vue-router": "^4.2.5"
|
|
},
|
|
"devDependencies": {
|
|
"@vitejs/plugin-vue": "^4.5.2",
|
|
"vite": "^5.0.10"
|
|
}
|
|
}
|