## Log Parameters and Metrics from your normal MLlib run
# Log a parameter (key-value pair)
mlflow.log_param("alpha", 0.1)
# Log a metric; metrics can be updated throughout the run
mlflow.log_metric("AUC", 0.871827)
mlflow.log_metric("F1", 0.726153)
mlflow.log_metric("Precision", 0.213873)