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Model.get_model_path(model_name="model") 抛出错误:在缓存或根目录中找不到模型

我有一个模型,我用管道注册了它:

register_step = PythonScriptStep(name = "Register Model",
                                source_directory = training_folder,
                                script_name = "register_model.py",
                                arguments = ['--model_folder', model_folder],
                                inputs=[model_folder],
                                compute_target = pipeline_cluster,
                                runconfig = pipeline_run_config,
                                allow_reuse = True)
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这是我的 register_model.py:

import argparse
import joblib
from azureml.core import Workspace, Model, Run

# Get parameters
parser = argparse.ArgumentParser()
parser.add_argument('--model_folder', type=str, dest='model_folder', default="model", help='model location')
args = parser.parse_args()
model_folder = args.model_folder

# Get the experiment run context
run = Run.get_context()

# Load the model
print("Loading model from " + model_folder)
model_file = model_folder + …
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python machine-learning azure-machine-learning-service

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