Files
NexQuant/docs/scens/catalog.rst
T
Haoran Pan 3c6f9ef76d docs: update guidance for running mle-bench (#896)
* update guidance for running mle-bench

* ci issue

* Update guidance for setting kaggle api
2025-05-26 17:43:43 +08:00

53 lines
1.4 KiB
ReStructuredText

=========================
Scenarios
=========================
Scenario lists
=========================
In the two key areas of data-driven scenarios, model implementation and data building, our system aims to serve two main roles: 🦾copilot and 🤖agent.
- The 🦾copilot follows human instructions to automate repetitive tasks.
- The 🤖agent, being more autonomous, actively proposes ideas for better results in the future.
The supported scenarios are listed below:
.. list-table::
:header-rows: 1
* - Scenario/Target
- Model Implementation
- Data Building
* - 💹 Finance
- :ref:`🤖Iteratively Proposing Ideas & Evolving <model_agent_fin>`
- :ref:`🦾Auto reports reading & implementation <data_copilot_fin>`
:ref:`🤖Iteratively Proposing Ideas & Evolving <data_agent_fin>`
* - 🩺 Medical
- :ref:`🤖Iteratively Proposing Ideas & Evolving <model_agent_med>`
-
* - 🏭 General
- :ref:`🦾Auto paper reading & implementation <model_copilot_general>`
:ref:`🤖Auto Kaggle Model Tuning <kaggle_agent>`
- :ref:`🤖Auto Kaggle feature Engineering <kaggle_agent>`
:ref:`🤖 Data Science <data_science_agent>`
.. toctree::
:maxdepth: 1
:caption: Doctree:
:hidden:
data_agent_fin
data_copilot_fin
model_agent_fin
model_agent_med
model_copilot_general
kaggle_agent
data_science