os.getenv("AZUREML_MODEL_DIR"),"model/sklearn_regression_model.pkl")# deserialize the model file back into a sklearn modelmodel = joblib.load(model_path) logging.info("Init complete")defrun(raw_data):""" This function is called for every invocation of the endpoint to perform the actual...
# It is the path to the model folder (./azureml-models/$MODEL_NAME/$VERSION) # Please provide your model's folder name if there is one model_path = os.path.join( os.getenv("AZUREML_MODEL_DIR"), "model/sklearn_regression_model.pkl" ) # deserialize the model file back into a sk...