ADIA Lab Market Prediction Competition
  • The tournament
    • Overview
    • Timeline
    • Evaluation
    • Data
    • Prize
  • Requirements
    • Code Requirements
    • The Submission Code Interface
    • Resource Limit
    • Whitelisted Libraries
  • Participate
    • How to participate
    • Create an account
    • Setup
    • Your working directory
    • A basic but functional solution
    • Testing your code
    • Submitting
    • Get a score on the leaderboard
    • Run in the Cloud Environment
    • Monitoring your Cloud Runs
    • Out-of-Sample Submission Selection
    • Out-of-Sample Evaluation Phase
    • Advanced Material
    • Known Issues
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  1. Participate

Run in the Cloud Environment

To run your code, configure your Running Environment.

PreviousGet a score on the leaderboardNextMonitoring your Cloud Runs

Last updated 1 year ago

Each cloud run can be configured differently.

STEP 1.

Don't waste cloud resources! Run some local tests first.

If a code doesn't run on your environment, it won't run on the cloud.

STEP 2.

The system is parsing your code dependencies to assign you a CPU or GPU cloud environment.

GPUs are very expensive and bad for the environment. 🌳

Don't claim a GPU if you don't need it!

STEP 3.

You can configure the re-training frequency of your model as you wish.

Remember that your code will need to process all the dates in the private test set in under 5 hours of compute. Adjust your retraining frequency so that your code remains within the limits.

Local test
GPU vs CPU
Training frequency