e8235bf3ca
- 后端新增 JD-R（工作要求-资源）理论维度数据生成，包含工作要求、工作资源、
个人资源、中介变量共 16 个新特征列
- 新增 JD-R 分析服务与 API（维度统计、倦怠投入分析、双路径中介分析、
分组轮廓、风险分布）
- 新增 SHAP 可解释性分析模块（全局重要性、局部解释、特征交互、依赖图）
- 预测服务增加风险分类模型加载与概率预测能力
- 前端新增 JD-R 分析页面（JDRAnalysis.vue），含雷达图、散点图、路径分析等可视化
- 预测页面增加风险概率展示与 SHAP 特征解释
- 路由与导航菜单同步更新
31 lines
2.9 KiB
Plaintext
31 lines
2.9 KiB
Plaintext
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
|
|
Collecting shap
|
|
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a5/8e/cee1ee136a4e54fe2fbb63a60d72d7c25e21a4ffe6aa05779cab7669cb31/shap-0.51.0-cp311-cp311-win_amd64.whl (554 kB)
|
|
---------------------------------------- 554.9/554.9 kB 6.2 MB/s 0:00:00
|
|
Requirement already satisfied: numpy>=2 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (2.3.5)
|
|
Requirement already satisfied: scipy in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (1.17.1)
|
|
Requirement already satisfied: scikit-learn in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (1.8.0)
|
|
Requirement already satisfied: pandas in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (3.0.1)
|
|
Requirement already satisfied: tqdm>=4.27.0 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (4.67.3)
|
|
Requirement already satisfied: packaging>20.9 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (25.0)
|
|
Collecting slicer==0.0.8 (from shap)
|
|
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/63/81/9ef641ff4e12cbcca30e54e72fb0951a2ba195d0cda0ba4100e532d929db/slicer-0.0.8-py3-none-any.whl (15 kB)
|
|
Collecting numba (from shap)
|
|
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/53/ff/1371cbbe955be340a46093a10b61462437e0fadc7a63290473a0e584cb03/numba-0.65.0-cp311-cp311-win_amd64.whl (2.7 MB)
|
|
---------------------------------------- 2.7/2.7 MB 15.9 MB/s 0:00:00
|
|
Collecting llvmlite (from shap)
|
|
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a2/50/59227d06bdc96e23322713c381af4e77420949d8cd8a042c79e0043096cc/llvmlite-0.47.0-cp311-cp311-win_amd64.whl (38.1 MB)
|
|
---------------------------------------- 38.1/38.1 MB 29.2 MB/s 0:00:01
|
|
Collecting cloudpickle (from shap)
|
|
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/88/39/799be3f2f0f38cc727ee3b4f1445fe6d5e4133064ec2e4115069418a5bb6/cloudpickle-3.1.2-py3-none-any.whl (22 kB)
|
|
Requirement already satisfied: typing-extensions in D:\anaconda\envs\ml-nlp\Lib\site-packages (from shap) (4.15.0)
|
|
Requirement already satisfied: colorama in D:\anaconda\envs\ml-nlp\Lib\site-packages (from tqdm>=4.27.0->shap) (0.4.6)
|
|
Requirement already satisfied: python-dateutil>=2.8.2 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from pandas->shap) (2.9.0.post0)
|
|
Requirement already satisfied: tzdata in D:\anaconda\envs\ml-nlp\Lib\site-packages (from pandas->shap) (2025.3)
|
|
Requirement already satisfied: six>=1.5 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from python-dateutil>=2.8.2->pandas->shap) (1.17.0)
|
|
Requirement already satisfied: joblib>=1.3.0 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from scikit-learn->shap) (1.5.3)
|
|
Requirement already satisfied: threadpoolctl>=3.2.0 in D:\anaconda\envs\ml-nlp\Lib\site-packages (from scikit-learn->shap) (3.6.0)
|
|
Installing collected packages: slicer, llvmlite, cloudpickle, numba, shap
|
|
|
|
Successfully installed cloudpickle-3.1.2 llvmlite-0.47.0 numba-0.65.0 shap-0.51.0 slicer-0.0.8
|