Xinjie Shen f20dc4482b example workflow code for model implementation (#17)
* upload example code for model implementation

* Refactor Model Implement

* add export

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Co-authored-by: Young <afe.young@gmail.com>
2024-06-21 16:41:34 +08:00
2024-06-07 00:23:11 +08:00
2024-06-12 15:12:11 +08:00
2024-05-21 22:48:41 +08:00
2024-04-02 21:04:08 -07:00
2024-06-12 15:12:11 +08:00
2024-06-07 00:23:11 +08:00
2024-04-02 21:04:09 -07:00
2024-04-02 21:04:10 -07:00

Project

This repo has been populated by an initial template to help get you started. Please make sure to update the content to build a great experience for community-building.

As the maintainer of this project, please make a few updates:

  • Improving this README.MD file to provide a great experience
  • Updating SUPPORT.MD with content about this project's support experience
  • Understanding the security reporting process in SECURITY.MD
  • Remove this section from the README

Configuration:

You can manually source the .env file in your shell before running the Python script: Most of the workflow are controlled by the environment variables.

# Export each variable in the .env file; Please note that it is different from `source .env` without export
export $(grep -v '^#' .env | xargs)
# Run the Python script
python your_script.py

Naming convention

File naming convention

Name Description
conf.py The configuration for the module & app & project

Contributing

Guidance

This project welcomes contributions and suggestions. You can find issues in the issues list or simply running grep -r "TODO:".

Making contributions is not a hard thing. Solving an issue(maybe just answering a question raised in issues list ), fixing/issuing a bug, improving the documents and even fixing a typo are important contributions to RDAgent.

Policy

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Languages
Python 92.5%
Vue 4.9%
Jupyter Notebook 0.9%
Shell 0.8%
JavaScript 0.3%
Other 0.5%