WebEasyML - 机器学习代码生成器
WebEasyML是一个简单易用的机器学习代码生成器，帮助初学者快速上手机器学习项目。
功能特点
- 支持多种机器学习模型：
- 分类模型（KNN、SVM、朴素贝叶斯等）
- 回归模型（线性回归、决策树、随机森林等）
- 聚类模型（K-means、谱聚类等）
- 降维模型（PCA、LDA等）
- 简洁直观的用户界面
- 一键生成代码
- 支持代码运行和模型下载
- 参数可视化配置
安装说明
- 下载库：
pip install webeasyml
使用方法
- 启动服务器程序：
import webeasyml
webeasyml.run(host='0.0.0.0',port=5001)
- 在浏览器中访问：
http://localhost:5001
- 使用步骤：
- 选择模型类型
- 输入模型名称
- 选择具体算法
- 调整参数（可选）
- 上传数据集（CSV格式）
- 点击"生成代码"
- 运行代码或下载模型
注意事项
- 确保已安装所有必要的Python依赖
- 运行代码前请确保数据文件已准备好
- 模型下载功能需要模型已经训练并保存
- 所有静态资源（HTML、CSS、JavaScript）都由服务器提供
- 上传的数据集必须是CSV格式
- 代码执行有30秒超时限制
技术支持
如有问题或建议，请提交Issue或联系开发者。
1 maintainer
Metadata
1 maintainer
Release files for webeasyml 0.1.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| webeasyml-0.1.6.tar.gz | 13.5 kB | Without provenance | Details |
Release files / webeasyml-0.1.6.tar.gz
| Download URL | webeasyml-0.1.6.tar.gz |
|---|---|
| Size | 13.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1393abdaff9d7a11deb566eec4e17c7e6304a52a97728486348851de5da14e46
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twine/5.0.0 CPython/3.8.3
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