microsoft--rd-agent/.devcontainer

Introduction

!!!!!This dev container is not for public development!!!!!! !!!!!Please don't use it if you are just a public open-source user.!!!!!!

Steps to run the dev container (for internal use only)

Prerequisites(this is the reason why this dev container is not for public use):

• Make sure you have the rdagentappregistry.azurecr.io/rd-agent-mle:20250623 image locally & DevContainer is installed in your IDE
• The kaggle dataset is located at /home/shared/RD-Agent/kaggle

1. Open the project and select "Open In DevContainer"
2. Set up your Kaggle Key (do not share this; other internal URLs are hardcoded in the config files)

export KAGGLE_USERNAME=
export KAGGLE_KEY=

3. Run: python rdagent/app/data_science/loop.py --competition nomad2018-predict-transparent-conductors

Additional Notes

• Please install and use this Dev Container in VS Code.
• You must open VS Code remotely and enter the RD-Agent directory before running the DevContainer configuration (.devcontainer/devcontainer.json). Otherwise, the workspace and path mappings will not work as expected.
• To open the DevContainer correctly in VS Code:
  1. Remotely connect to the machine and open the RD-Agent folder in VS Code.
  2. Press Ctrl+Shift+P (or Cmd+Shift+P on Mac), type and select "Dev Containers: Reopen in Container".

How to grade your submission in the DevContainer

1. save your submission file in ./sumission.csv

2. Run evaluation DS_COMPETITION= conda run -n mlebench mlebench grade-sample submission.csv $DS_COMPETITION --data-dir /tmp/kaggle/zip_files/