log and register model

# Log the trained model with MLflow and package it with feature lookup information.
# fs.log_model(
#     model,
#     artifact_path="model_packaged",
#     flavor=mlflow.lightgbm,
#     training_set=training_set,
#     registered_model_name=model_name,
# )
# Log the trained model with MLflow.
autolog_run = mlflow.last_active_run()
model_uri = "runs:/{}/model".format(autolog_run.info.run_id)
mlflow.register_model(model_uri, model_name)