Hyperopt and SparkTrials cannot be integrated for parallelizing hyperparameter tuning.

Integrating Hyperopt with SparkTrials involves configuring SparkTrials to distribute evaluations across a Spark cluster, allowing for efficient parallelization of hyperparameter tuning.

Hyperopt and SparkTrials are identical tools and can be used interchangeably for parallelizing hyperparameter tuning.

Hyperopt and SparkTrials are only used for tuning hyperparameters of deep learning models, not other types of models.