Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
mlflow.set_tracking_uri("http://localhost:5000") # Create an experiment experiment_name = "Random Forest Classifier" mlflow.set_experiment(experiment_name) # Train and evaluate multiple model versions for n_estimators in [50, 100, 200]: with mlflow.start_run(run_name=f"RF_{n_estimators}"): # Train