This notebook demonstrates how to tune the hyperparameters for multiple models and arrive at a best model overall. It uses Hyperopt with
SparkTrials to select between two model types: Naive Bayes and Support Vector Machines (SVM). For each model type, Hyperopt can search over a different set of hyperparameters.
Model search using distributed Hyperopt + automated MLflow tracking notebook