Hyperopt

Hyperopt is a software tool used to find the best settings or parameters for a machine learning model or algorithm. It automates the process of testing different combinations efficiently, saving time compared to manual trial-and-error. By intelligently exploring the options, Hyperopt helps identify the most effective setup to improve model performance, such as accuracy or speed. It uses advanced techniques like random search or Bayesian optimization to make informed guesses about promising configurations, making the tuning process more systematic and effective.