tf_signature_def_key="serving_default",
artifact_path="model")
// Reloading the model
pyfunc_model = mlflow.pyfunc.load_model(
mlflow.get_artifact_uri("model"))
logging.info("Uploading TensorFlow events as a run artifact.")
mlflow.log_artifacts(tensorboard_path)
logging.info(
"Launch TensorBoard with:\n\ntensorboard --logdir=%s" %
After Change
artifact_path="model")
// Reloading the model
if args.model_reload:
mlflow.pyfunc.load_model(mlflow.get_artifact_uri("model"))
logging.info("Uploading TensorFlow events as a run artifact.")
mlflow.log_artifacts(tensorboard_path)
logging.info(