feature: added _AnalysisConfigGenerator for clarify

[dosatos]

Issue #, if available:

Description of changes:

• Added _AnalysisConfigGenerator class to simplify maintainability of the config creation.
  • Also, with this generator, customers may reproduce the state of the config locally during debugging (i.e. without a need to opening it in the S3 bucket)
• Simplified job_name creation part
• Added a private method _last_analysis_config) to store last analysis_config used for a run (to be useful in case of debugging)
• Extended the std out with the analysis config used for a run. Currently it already prints other values, like Job Name, Inputs, and Outputs:

Job Name:  Clarify-Bias-2022-07-22-09-00-31-294
Inputs:  [{...}]
Outputs:  [...}]

Testing done: Unit Tests

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[dosatos]

Can you please add types?

Done, also created a backlog item to address this for the other/existing methods.

Can you please test a config including pre-post-explainability all at once? Can the generator synthetise the config for all the methods enabled + explainability?

So far there is no API to call for both Bias and Explainability at once. So I cannot. (Maybe I did not get the question?)

[larroy]

weird, but analysis config supports having a job with explainability and bias at once, how is it that we can't do it with the SDK? or am I missing something?

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Codecov Report

Merging #3271 (b50a44b) into master (284ddbe) will decrease coverage by 0.79%. The diff coverage is 97.67%.

@@            Coverage Diff             @@
##           master    #3271      +/-   ##
==========================================
- Coverage   89.82%   89.03%   -0.80%     
==========================================
  Files         645      203     -442     
  Lines       55518    18280   -37238     
==========================================
- Hits        49871    16276   -33595     
+ Misses       5647     2004    -3643     

Impacted Files	Coverage Δ
src/sagemaker/clarify.py	95.52% <97.67%> (ø)
...python3.9/site-packages/sagemaker/xgboost/utils.py
...e-packages/sagemaker/automl/candidate_estimator.py
...n3.9/site-packages/sagemaker/wrangler/ingestion.py
...python3.7/site-packages/sagemaker/pytorch/model.py
...on3.8/site-packages/sagemaker/amazon/validation.py
...ite-packages/sagemaker/jumpstart/notebook_utils.py
.../sagemaker/huggingface/training_compiler/config.py
...thon3.7/site-packages/sagemaker/utilities/cache.py
.../cli/compatibility/v2/modifiers/training_params.py
... and 839 more

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[shreyapandit]

PR check for serverless inference failing because of known backend issue, will override and merge this to unblock team.

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