System Information
- Framework (e.g. TensorFlow) / Algorithm (e.g. KMeans): Scikit-Learn
- Framework Version: 0.20.0
- Python Version: 2.7
- CPU or GPU: n/a
- Python SDK Version: 1.18.13
- Are you using a custom image: no
Describe the problem
The scikit learn framework doesn't seem to support the 'local' instance type for either training jobs or the prediction endpoint.
Any call like sagemaker.sklearn.estimator.SKLearn(..., train_instance_type='local') or sklearn_estimator.deploy(..., instance_type='local') results in botocore.exceptions.ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: 1 validation error detected: Value 'local' at 'resourceConfig.instanceType' failed to satisfy constraint.
System Information
Describe the problem
The scikit learn framework doesn't seem to support the 'local' instance type for either training jobs or the prediction endpoint.
Any call like
sagemaker.sklearn.estimator.SKLearn(..., train_instance_type='local')orsklearn_estimator.deploy(..., instance_type='local')results inbotocore.exceptions.ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: 1 validation error detected: Value 'local' at 'resourceConfig.instanceType' failed to satisfy constraint.