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update docs (#139)
* update docs * Update README.md * Update project_framework_introduction.rst * fix pickle problem * Update Doc & paper * Update docs * Update rdagent/core/utils.py * Update rdagent/components/coder/factor_coder/CoSTEER/knowledge_management.py
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@@ -18,8 +18,8 @@ We believe that the automatic evolution of R&D will lead to solutions of signifi
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<!-- Tag Cloud -->
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R&D is a very general scenario. The advent of RDAgent can be your
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- [🎥Automatic Quant Factory]()
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- Data mining agent: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
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- Research copilot: Auto read [🎥research papers]()/[🎥reports]() and implement model structures or building datasets.
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- 🤖Data mining agent: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
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- 🦾Research copilot: Auto read [🎥research papers]()/[🎥reports]() and implement model structures or building datasets.
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- ...
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You can click the [🎥link]() above to view the demo. More methods and scenarios are being added to the project to empower your R&D processes and boost productivity.
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@@ -107,9 +107,9 @@ Here is our supported scenarios
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| Scenario/Target | Model Implementation | Data Building |
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| -- | -- | -- |
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| 💹 Finance | Iteratively Proposing Ideas & Evolving | - Auto reports reading & implementation <br/> - Iteratively Proposing Ideas & Evolving |
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| 🩺 Medical | Iteratively Proposing Ideas & Evolving | - |
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| 🏭 General | Auto paper reading & implementation | - |
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| 💹 Finance | 🤖Iteratively Proposing Ideas & Evolving | - 🦾Auto reports reading & implementation <br/> - 🤖Iteratively Proposing Ideas & Evolving |
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| 🩺 Medical | 🤖Iteratively Proposing Ideas & Evolving | - |
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| 🏭 General | 🦾Auto paper reading & implementation | - |
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Different scenarios vary in entrance and configuration. Please check the detailed setup tutorial in the scenarios documents.
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@@ -118,7 +118,8 @@ TODO: Scenario Gallary
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# ⚙️Framework
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Automating the R&D process in data science is a highly valuable yet underexplored area in industry. We propose a framework to push the boundaries of this important research field.
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@@ -135,13 +136,15 @@ We believe that the key to delivering high-quality solutions lies in the ability
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# 📃Paper/Work list
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## Benchmark
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- TODO: adding link;
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- [Towards Data-Centric Automatic R&D](https://arxiv.org/abs/2404.11276);
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```BibTeX
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@article{chen2024rd2bench,
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title={RD2Bench: Toward Data-Centric Automatic R\&D},
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author={Chen, Haotian and Shen, Xinjie and Ye, Zeqi and Yang, Xiao and Yang, Xu and Liu, Weiqing and Bian, Jiang},
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journal={arXiv preprint arXiv:2404.11276},
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year={2024}
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@misc{chen2024datacentric,
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title={Towards Data-Centric Automatic R&D},
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author={Haotian Chen and Xinjie Shen and Zeqi Ye and Wenjun Feng and Haoxue Wang and Xiao Yang and Xu Yang and Weiqing Liu and Jiang Bian},
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year={2024},
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eprint={2404.11276},
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archivePrefix={arXiv},
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primaryClass={cs.AI}
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}
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```
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@@ -5,11 +5,19 @@ Framework Design & Components
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Framework & Components
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=========================
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- TODO: Components & Feature Level
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.. NOTE: This depends on the correctness of `c-v` of github.
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.. image:: https://github.com/user-attachments/assets/98fce923-77ab-4982-93c8-a7a01aece766
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:alt: Components & Feature Level
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The image above shows the overall framework of RDAgent.
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.. image:: https://github.com/user-attachments/assets/60cc2712-c32a-4492-a137-8aec59cdc66e
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:alt: Class Level Figure
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For those interested in the detailed code, the figure above illustrates the main classes and aligns them with the workflow.
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- Class Level Figure
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Detailed Design
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=========================
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