Answer: Hyperopt

Hyperopt is a Python library tailored for optimizing hyperparameters using various search algorithms, including Bayesian optimization via the Tree of Parzen Estimators (TPE) method. It supports distributed computing, making it ideal for use with Apache Spark for machine learning model training and hyperparameter tuning. Unlike Autoscaling clusters, which manage computational resources, or Feature Store, which centralizes feature management, Hyperopt directly facilitates Bayesian hyperparameter tuning. MLflow Experiment Tracking and AutoML, while useful in broader machine learning workflows, do not specifically offer Bayesian hyperparameter tuning capabilities for distributed Spark ML models as Hyperopt does.

Author: LeetQuiz Editorial Team