Possible bug with random cut forest on sagemaker

I am following the tutorial for random cut forest on sagemaker here: https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_amazon_algorithms/random_cut_forest/random_cut_forest.html When I run this chunk of code below

from sagemaker import RandomCutForest

session = sagemaker.Session()

# specify general training job information
rcf = RandomCutForest(
    role=execution_role,
    instance_count=1,
    instance_type="ml.m4.xlarge",
    data_location=f"s3://{bucket}/{prefix}/",
    output_path=f"s3://{bucket}/{prefix}/output",
    num_samples_per_tree=512,
    num_trees=50,
)
# automatically upload the training data to S3 and run the training job
rcf.fit(rcf.record_set(taxi_data.value.to_numpy().reshape(-1, 1)))

I get this error, due to the "rcf = RandomCutForest()" line: UnknownServiceError: Unknown service: 'sagemaker-metrics'. Valid service names are: .....

A more detailed screenshot of the error is below

May I ask if this is a possible bug on aws sagemaker end? Or is there something wrong with the code? It was working fine until a few days ago. Thank you!