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.
