Example notebooks for Amazon SageMaker Experiments

The following tutorials demonstrate how to track runs for various model training experiments. You can view the resulting experiments in Studio Classic after running the notebooks. To clean up the resources created by a notebook, see Clean Up Amazon SageMaker Experiment Resources. For a tutorial that showcases additional features of Studio, see Amazon SageMaker Studio Classic Tour.

Track experiments in a notebook environment

To learn more about tracking experiments in a notebook environment, see the following example notebooks:

• Track an experiment while training a Keras model locally

• Track an experiment while training a Pytorch model locally or in your notebook

Track bias and explainability for your experiments with SageMaker Clarify

For a step-by-step guide on tracking bias and explainability for your experiments, see the following example notebook:

• Fairness and Explainability with SageMaker Clarify

Track experiments for SageMaker training jobs using script mode

For more information about tracking experiments for SageMaker training jobs, see the following example notebooks:

• Run a SageMaker Experiment with Pytorch Distributed Data Parallel - MNIST Handwritten Digits Classification

• Track an experiment while training a Pytorch model with a SageMaker Training Job

• Train a TensorFlow model with a SageMaker training job and track it using SageMaker Experiments