Nail Synthetic Data Generation Every Time with Gretel Tuner

Gretel Tuner is a new config-driven tool for efficiently tuning hyperparameters of Gretel Synthetics models. It's integrated into the Python SDK, offering simplicity through YAML configuration and leveraging Optuna’s Bayesian optimization framework for efficiency. The tool also supports custom user-implemented optimization metrics, allowing users to tune it according to their specific use cases. Google Colab tutorials are available for getting started with Gretel Tuner, which can be installed locally by adding the [tuner] option during SDK installation.