Model Search using Distributed Hyperopt + Automated MLflow Tracking

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

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