# Scripts

Bundled resources for hyperparameter-tuner skill

- [x] grid_search.py: Implements grid search algorithm for hyperparameter tuning.
- [x] random_search.py: Implements random search algorithm for hyperparameter tuning.
- [x] bayesian_optimization.py: Implements Bayesian optimization algorithm for hyperparameter tuning.
- [x] hyperparameter_space.py: Defines the search space for hyperparameters.
- [x] model_trainer.py: Trains the machine learning model with given hyperparameters.
- [x] evaluation_metrics.py: Calculates performance metrics for the trained model.
- [x] data_validation.py: Validates the input data for the model.
- [x] error_handling.py: Handles potential errors during hyperparameter tuning.


## Auto-Generated
Scripts generated on 2025-12-10 03:48:17
