Amazon SageMaker

Warnings

• breaking In version 3.7.1, the ModelBuilder's LoRA deployment path now respects the user-provided `accept_eula` value. If not set to `True`, it raises a `ValueError`.
  Fix: Explicitly set `accept_eula` to `True` in the ModelBuilder's LoRA deployment path.
• gotcha When using the `Evaluate` class, it's essential to set the IAM role correctly to avoid permission errors.
  Fix: Set the IAM role correctly using the `role` parameter in the `Evaluate` class.
• deprecated The `Estimator` class is deprecated in favor of the `ModelTrainer` class.
  Fix: Use the `ModelTrainer` class instead of the `Estimator` class.

Install

• pip install sagemaker Install via pip

Imports

• sagemaker

  import sagemaker

  The sagemaker library should be imported directly.
• SageMaker

  from sagemaker import SageMaker

  The SageMaker class should be imported from the top-level sagemaker module.

Quickstart

Quickstart example to get the execution role using Amazon SageMaker.

import sagemaker
from sagemaker import get_execution_role

role = get_execution_role()
print(role)