Error: update_endpoint is a no-op in sagemaker>=2. See: https://sagemaker.readthedocs.io/en/stable/v2.html for details.

[kartik-binzade]

How can we solve this error please guide us.

Error: update_endpoint is a no-op in sagemaker>=2.
See: https://sagemaker.readthedocs.io/en/stable/v2.html for details.

deploy your model in SageMaker and create Real-time inference endpoint:

from tensorflow.keras import backend
from sagemaker.tensorflow.model import TensorFlowModel
role = 'arn:aws:iam::ID:role/AmazonSageMaker-ExecutionRole-.........'
sagemaker_model = TensorFlowModel(model_data='s3://sagemaker-ap-south-1-ID/model/model.tar.gz',
role = role,
framework_version = '1.12',
entry_point = 'train.py')

%%time
predictor = sagemaker_model.deploy(initial_instance_count=1,
instance_type='ml.t3.medium')
print("Success!")
predictor.endpoint

[jeffheaton]

Apologies but I really do not have the bandwidth to help with individual issues.