Skip to content

feature: integrate amtviz for visualization of tuning jobs #5044

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 14 commits into
base: master
Choose a base branch
from

Conversation

uyoldas
Copy link

@uyoldas uyoldas commented Feb 15, 2025

Description of changes: Add new functionality to HyperparameterTuner class to visualize the results of tuning jobs. The class now contains two functions using the amtviz package to create dynamic and interactive charts visualizing the influence of hyperparameters on the objective metric. The code in amtviz uses altair for charts generation. The original repository can be found here:
https://github.com/aws-samples/amazon-sagemaker-amt-visualize/

Testing done: Yes, added new unit tests and ran them successfully.

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have added unit and/or integration tests as appropriate to ensure backward compatibility of the changes
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)
  • If adding any dependency in requirements.txt files, I have spell checked and ensured they exist in PyPi

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@uyoldas uyoldas requested a review from a team as a code owner February 15, 2025 20:52
@uyoldas uyoldas requested a review from bhadrip February 15, 2025 20:52
Aditi2424
Aditi2424 previously approved these changes Feb 20, 2025
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
"""Placeholder docstring"""
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The placeholder docstring should be replaced with actual documentation explaining the
purpose of this module.

Copy link
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good catch, thanks for the hint. I added an explanation to the docstring.

"""Amazon SageMaker Automatic Model Tuning Visualization module. This module provides visualization capabilities for SageMaker hyperparameter tuning jobs. It enables users to create interactive visualizations to analyze and understand the performance of hyperparameter optimization experiments. Example: >>> from sagemaker.amtviz import visualize_tuning_job >>> visualize_tuning_job('my-tuning-job') """

pintaoz-aws and others added 10 commits May 23, 2025 09:33
… and sagemaker.deserialzers (aws#5037)

* Move RecordSerializer and RecordDeserializer to sagemaker.serializers and sagemaker.deserializers

* fix codestyle

* fix test

---------

Co-authored-by: pintaoz <[email protected]>
* Add framework_version to all TensorFlowModel examples

* update framework_version to x.x.x

---------

Co-authored-by: pintaoz <[email protected]>
…5043)

* fix: pass in inference_ami_version to model_based endpoint type

* documentation: update contributing.md w/ venv instructions and pip install fixes

---------

Co-authored-by: Zhaoqi <[email protected]>
* Add warning about not supporting

* update wording

---------

Co-authored-by: pintaoz <[email protected]>
@uyoldas uyoldas temporarily deployed to manual-approval May 23, 2025 07:47 — with GitHub Actions Inactive
@uyoldas uyoldas temporarily deployed to manual-approval June 2, 2025 08:40 — with GitHub Actions Inactive
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

7 participants