Skip to content
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

Upgrade SKLearn to 1.2.1 #163

Merged
merged 5 commits into from
Feb 24, 2023
Merged

Upgrade SKLearn to 1.2.1 #163

merged 5 commits into from
Feb 24, 2023

Conversation

malav-shastri
Copy link
Contributor

@malav-shastri malav-shastri commented Feb 13, 2023

Issue #, if available:

Description of changes:

  • Upgrading SKLearn to 1.2.1 and related changes in the repo.
  • ARM Container upgrade will be a followup task

Testing:

  • Unit tests
  • flake8 setup.py src test
  • Integration Tests

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

mabunday
mabunday previously approved these changes Feb 15, 2023
@mabunday
Copy link
Contributor

You can add a new release when this is merged https://github.com/aws/sagemaker-scikit-learn-container/releases

@malav-shastri
Copy link
Contributor Author

You can add a new release when this is merged https://github.com/aws/sagemaker-scikit-learn-container/releases

sure, thanks for the reference

@@ -184,10 +184,10 @@ def test_load_and_unload_two_models():
res_json = json.loads(res)
assert res_json['status'] == 'Workers scaled'

code, res = make_invocation_request('0.0, 0.0, 0.0, 0.0, 0.0, 0.0', model_name_0)
Copy link
Contributor

Choose a reason for hiding this comment

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

Have you ran the container Integ tests?

Copy link
Contributor Author

@malav-shastri malav-shastri Feb 21, 2023

Choose a reason for hiding this comment

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

yes they ran as a part of codebuild, and that led me to this particular change. By mistake I retrained the models using the dummy data which had 5 features but these requests were having 6 which I realized later and thought its easier and faster to make a change here.

@malav-shastri malav-shastri merged commit cd86eb2 into aws:master Feb 24, 2023
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.

3 participants