我在使用SageMaker时遇到了以下问题:
- I've downloaded one of the tutorial notebooks (https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/tensorflow_abalone_age_predictor_using_keras/tensorflow_abalone_age_predictor_using_keras.ipynb)
I ran the training locally (successfully) with the modifying the following line:
abalone_estimator = TensorFlow(entry_point='abalone.py', role=role, training_steps= 100, evaluation_steps= 100, hyperparameters={'learning_rate': 0.001}, train_instance_count=1, **train_instance_type='local'**) abalone_estimator.fit(inputs)
I then wanted to deploy my model to AWS with the following line but it seems the SDK deploys it locally (it doesn't fail, I just see it running on my machine)
abalone_predictor = abalone_estimator.deploy(initial_instance_count=1, instance_type='ml.m4.xlarge')
有没有关于如何修复问题从而成功部署到AWS,或者重新加载训练模型并从头开始将其部署到AWS的任何提示?
非常感谢, 斯特凡