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change: make model_config optional when predicted labels are provided for bias detection #3596

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Merged
merged 4 commits into from
Feb 10, 2023

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oyangz
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@oyangz oyangz commented Jan 17, 2023

Issue #, if available:
https://issues.amazon.com/issues/RAI-3961

Description of changes:

  • Made model_config optional when predicted labels are provided for bias detection
  • Added unit tests and integration test for post training bias with predicted labels
  • Updated parameter descriptions in run_bias and run_post_training_bias

Testing done:

  • manually tested changes locally by running bias detection in jupyter notebook, verified run_bias and run_post_training_bias can be called without model_config when predicted labels are provided.
  • unit tests and clarify integration tests passed

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  • 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)

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

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codecov-commenter commented Jan 17, 2023

Codecov Report

Merging #3596 (975a5cb) into master (1fa2377) will decrease coverage by 0.36%.
The diff coverage is 87.74%.

@@            Coverage Diff             @@
##           master    #3596      +/-   ##
==========================================
- Coverage   89.17%   88.82%   -0.36%     
==========================================
  Files         204      227      +23     
  Lines       18979    22312    +3333     
==========================================
+ Hits        16924    19818    +2894     
- Misses       2055     2494     +439     
Impacted Files Coverage Δ
src/sagemaker/dataset_definition/inputs.py 100.00% <ø> (ø)
src/sagemaker/debugger/framework_profile.py 100.00% <ø> (ø)
src/sagemaker/debugger/metrics_config.py 100.00% <ø> (ø)
src/sagemaker/huggingface/model.py 89.87% <ø> (ø)
src/sagemaker/lineage/_utils.py 100.00% <ø> (+12.50%) ⬆️
src/sagemaker/model_card/model_card.py 93.04% <ø> (ø)
src/sagemaker/model_card/schema_constraints.py 100.00% <ø> (ø)
src/sagemaker/model_monitor/__init__.py 100.00% <ø> (ø)
...agemaker/model_monitor/clarify_model_monitoring.py 89.84% <ø> (-5.09%) ⬇️
src/sagemaker/model_monitor/dataset_format.py 72.72% <ø> (-2.28%) ⬇️
... and 110 more

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@oyangz oyangz marked this pull request as ready for review January 17, 2023 21:40
@oyangz oyangz requested a review from a team as a code owner January 17, 2023 21:40
@oyangz oyangz requested review from vikas0203 and removed request for a team January 17, 2023 21:40
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LGTM

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/bot run slow-tests

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/bot run notebook-tests,pr,slow-tests

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/bot run slow-tests,pr

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/bot run pr

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@vikas0203 vikas0203 merged commit 1c9dd1d into aws:master Feb 10, 2023
JoseJuan98 pushed a commit to JoseJuan98/sagemaker-python-sdk that referenced this pull request Mar 4, 2023
nmadan pushed a commit to nmadan/sagemaker-python-sdk that referenced this pull request Apr 18, 2023
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