From e85c2b84d2ba2501de031bc775726b9708cec291 Mon Sep 17 00:00:00 2001 From: wehub-resource-sync Date: Mon, 13 Jul 2026 10:24:32 +0000 Subject: [PATCH] docs: make Chinese README the default --- README.md | 110 ++++++++++++++++++++++++++++-------------------------- 1 file changed, 58 insertions(+), 52 deletions(-) diff --git a/README.md b/README.md index 1a50911..45296af 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,9 @@ + +> [!NOTE] +> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。 +> [English](./README.en.md) · [原始项目](https://github.com/chekoduadarsh/BlocklyML) · [上游 README](https://github.com/chekoduadarsh/BlocklyML/blob/HEAD/README.md) +> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。 +

@@ -14,117 +20,117 @@

-BlocklyML is a **No Code** training ground for python and Machine Learning. This tool is designed to simplify standard machine learning implementation. -This tool can assist anyone who wants to start with Machine Learning or python. This is a forked project from [Blockly](https://github.com/google/blockly) and adapted for machine learning and Data analytics use-cases. :brain: +BlocklyML 是面向 Python 与机器学习（Machine Learning）的 **无代码（No Code）** 训练平台。该工具旨在简化标准机器学习实现。 +此工具可帮助任何希望入门机器学习或 Python 的人。本项目从 [Blockly](https://github.com/google/blockly) 派生，并针对机器学习与数据分析用例进行了适配。:brain: -For a sample run go to sampleLayouts folder upload and try it out :smiley: +如需示例运行，请前往 sampleLayouts 文件夹，上传并试用 :smiley: -Read the ![UserGuide.md](https://github.com/chekoduadarsh/BlocklyML/blob/main/UserGuide.md) for further info +更多信息请阅读 ![UserGuide.md](https://github.com/chekoduadarsh/BlocklyML/blob/main/UserGuide.md) -In the Example given below we will train a random forest for Iris Dataset +在下方示例中，我们将针对 Iris 数据集训练随机森林（Random Forest） https://user-images.githubusercontent.com/26855534/174473003-488f675f-50a0-48f1-9ef0-81987bd21166.mp4 -# Table of contents +# 目录 -- [Table of contents](#table-of-contents) -- [Installing as BlocklyML App](#installing-as-blocklyml-app) - - [Flask Method](#flask-method) -- [UI Features](#ui-features) - - [Shortcuts](#shortcuts) - - [Dataframe Viewer](#dataframe-viewer) - - [Download Code](#download-code) -- [Contribute](#contribute) - - [This repo welcomes any kind of contributions :pray:](#this-repo-welcomes-any-kind-of-contributions-pray) -- [License](#license) -- [Thanks to](#thanks-to) -# Installing as BlocklyML App -First clone this repo +- [目录](#table-of-contents) +- [以 BlocklyML 应用形式安装](#installing-as-blocklyml-app) + - [Flask 方法](#flask-method) +- [UI 功能](#ui-features) + - [快捷操作](#shortcuts) + - [DataFrame 查看器](#dataframe-viewer) + - [下载代码](#download-code) +- [贡献](#contribute) + - [本仓库欢迎任何形式的贡献 :pray:](#this-repo-welcomes-any-kind-of-contributions-pray) +- [许可证](#license) +- [致谢](#thanks-to) +# 以 BlocklyML 应用形式安装 +首先克隆本仓库 ```shell git clone https://github.com/chekoduadarsh/BlocklyML ``` -After cloning the repo you can either follow the Flask Method +克隆仓库后，你也可以按照 Flask 方法操作 -# Running the App Using Docker +# 使用 Docker 运行应用 -If you've cloned the project and want to build the image, follow these steps: +若你已克隆项目并希望构建镜像，请按以下步骤操作： -1.Open your terminal and navigate to the project directory. +1.打开终端并进入项目目录。 -2.Run the following command to build the Docker image: +2.运行以下命令以构建 Docker 镜像： ```shell docker build . -t blocklyml/demo ``` -Once the image is built, you can launch the app by executing the following command: +镜像构建完成后，可通过执行以下命令启动应用： ```shell docker run -ti -p5000:5000 blockly_ml/demo ``` -This will start the app, and you'll be able to access it by opening your web browser and navigating to `http://localhost:5000` -### Flask Method +这将启动应用，之后可打开浏览器并访问 `http://localhost:5000` +### Flask 方法 -Install the requirements from `requirements.txt` with the following command +使用以下命令从 `requirements.txt` 安装依赖 ```shell pip install -r requirements.txt ``` -then you can run the application by +然后可通过以下方式运行应用 ```shell python app.py ``` -Simple as that :man_shrugging: +就这么简单 :man_shrugging: -# UI Features +# UI 功能 -## Shortcuts -You can find these buttons in the top right corner of the application. Their functionality as follows +## 快捷操作 +你可以在应用右上角找到这些按钮。其功能如下 -1. Download XML Layout -2. Upload XML layout -3. Copy Code -4. Launch Google Colab -5. Delete -6. Run (Not Supported Yet!!) +1. 下载 XML 布局 +2. 上传 XML 布局 +3. 复制代码 +4. 启动 Google Colab +5. 删除 +6. 运行（尚不支持!!） drawing -## Dataframe Viewer -Blockly support complete html view of the DataFrame. This can be accessed by view option in the navigation bar +## DataFrame 查看器 +Blockly 支持 DataFrame 的完整 HTML 视图。可通过导航栏中的查看选项访问 drawing -## Download Code -Blockly support both .py and .ipynb formats. You can download the code from the download option in the navigation bar +## 下载代码 +Blockly 同时支持 .py 与 .ipynb 格式。你可以从导航栏中的下载选项下载代码 drawing -# Contribute +# 贡献 -If you find any error or need support please raise a issue. If you think you can add a feature, or help solve a bug please raise a PR +若你发现任何错误或需要支持，请提交 issue。若你认为可以添加功能，或帮助修复 bug，请提交 PR -### This repo welcomes any kind of contributions :pray: +### 本仓库欢迎任何形式的贡献 :pray: -Feel free to adapt it criticize it and support it the way you like!! +欢迎以你喜欢的方式改编、批评并支持它!! -Read : [CONTRIBUTING.md](./CONTRIBUTING.md) +请阅读：[CONTRIBUTING.md](./CONTRIBUTING.md) -# License +# 许可证 [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) -# Thanks to -[![Stargazers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/stars/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/stargazers) -[![Forkers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/forks/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/network/members) +# 致谢 +[![@chekoduadarsh/BlocklyML 的 Stargazers 仓库名册](https://reporoster.com/stars/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/stargazers) +[![@chekoduadarsh/BlocklyML 的 Forkers 仓库名册](https://reporoster.com/forks/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/network/members) [!["Buy Me A Coffee"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/chekoduadarsh)