: Use descriptive names that indicate purpose (e.g., max_epochs rather than me ). Include type contracts documenting parameter types and return values.
The engine detected configuration keys belonging to Ver2.6 or older.
Example: In NNI v2.7, batch size interacts with learning rate. A common pattern is the linear scaling rule: new_lr = base_lr * (new_batch_size / base_batch_size).
I can provide a fully customized configuration file tailored directly to your infrastructure stack. Share public link
Mastering Configuration: The Definitive Guide to Parameter Settings ver2.7
If you have any questions or need help with optimizing your parameter settings, our support team is here to assist you. You can:
Version 2.7 requires an explicit schema declaration at the very top of your configuration file to trigger the strict validation engine:
within the "Protocol Parameter" or "Video Settings" sub-menu. Touch Settings:
