ml-engineer-pro video for you trained a model in a Vertex AI Workbench notebook that has good validation RMSE. You defined 20 parameters with the associated
You trained a model in a Vertex AI Workbench notebook that has good validation RMSE. You defined 20 parameters with the associated search spaces that you plan to use for model tuning. You want to use a tuning approach that maximizes tuning job speed. You also want to optimize cost, reproducibility, model performance, and scalability where possible if they do not affect speed. What should you do?