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Run in the Cloud Environment
To run your code, configure your Running Environment.
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.
Local test
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!
GPU vs CPU
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.
Training frequency