- Test cases: Use tests mod with the #[cfg(test)] attribute with static time series datasets to create tests
- Dataset: Prepare your time series dataset for training with normalization using train_loader.
- Evaluation: Implement evaluation metrics and validation loops to measure model performance.
- Hyperparameter Tuning: Adjust embedding sizes, learning rate, number of layers, etc., based on the task at hand.