docs: make Chinese README the default
CodeQL / Analyze (javascript) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
Pylint / build (3.9) (push) Has been cancelled
RequirementsTest / build (macos-latest, 3.9) (push) Has been cancelled
RequirementsTest / build (ubuntu-latest, 3.9) (push) Has been cancelled
RequirementsTest / build (windows-latest, 3.9) (push) Has been cancelled
CodeQL / Analyze (javascript) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
Pylint / build (3.9) (push) Has been cancelled
RequirementsTest / build (macos-latest, 3.9) (push) Has been cancelled
RequirementsTest / build (ubuntu-latest, 3.9) (push) Has been cancelled
RequirementsTest / build (windows-latest, 3.9) (push) Has been cancelled
This commit is contained in:
wehub-resource-sync
@@ -1,3 +1,9 @@
|
||||
<!-- WEHUB_ZH_README -->
|
||||
> [!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。
|
||||
|
||||
<p align="center">
|
||||
<a href="https://blocklyml.onrender.com/">
|
||||
<img src="https://raw.githubusercontent.com/chekoduadarsh/BlocklyML/main/media/blocklyML_Banner.png" height="80" />
|
||||
@@ -14,117 +20,117 @@
|
||||
</p>
|
||||
|
||||
|
||||
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  for further info
|
||||
更多信息请阅读 
|
||||
|
||||
|
||||
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!!）
|
||||
|
||||
<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/butttons.png" alt="drawing" width="500"/>
|
||||
|
||||
## 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
|
||||
|
||||
<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/DatasetView.png" alt="drawing" width="500"/>
|
||||
|
||||
|
||||
## 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
|
||||
|
||||
<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/DownloadView.png" alt="drawing" width="200"/>
|
||||
|
||||
# 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
|
||||
[](https://github.com/chekoduadarsh/BlocklyML/stargazers)
|
||||
[](https://github.com/chekoduadarsh/BlocklyML/network/members)
|
||||
# 致谢
|
||||
[](https://github.com/chekoduadarsh/BlocklyML/stargazers)
|
||||
[](https://github.com/chekoduadarsh/BlocklyML/network/members)
|
||||
|
||||
|
||||
[](https://www.buymeacoffee.com/chekoduadarsh)
|
||||
|
||||
Reference in New Issue
Block a user