Release PySDK V3

* Trinity (aws#1765)

* Test commit of new ModelBulider with V2 dependencies eliminated

* ModelBuilder.build() working for tgi server

* Support for torchserve, tgi, djl, triton, tei, mms, and smd

* Build fixed for jumpstart, auto-container detection logic fixed

* Model Builder cleaned and added more unit tests

* Deploy happy-case for Triton and JumpStart (TGI)

* Better auto-container detection and user experience

* Remove debug print statements

* Removing bad unit tests

* Style and cleanup changes

* Removing unrelated unit tests for now (will migrate in the future to V3)

* Fix installation and Sentinel issue

* Attempt to fix installation issues aws#2

* Sentinel bug fix third attempt, support for tgi server

* PR Check installation issue fix attempt number four

* Resolving missing dependency issues

* Update dependencies for sagemaker_train

* serve folder flattening, support for local mode

* Fully supporting local mode and in process mode with integ tests

* ModelBuilder and Pipeline merged

* Better deploy logic and fixed bad imports

* Trinity updated (aws#1769)

* Test commit of new ModelBulider with V2 dependencies eliminated

* ModelBuilder.build() working for tgi server

* Support for torchserve, tgi, djl, triton, tei, mms, and smd

* Build fixed for jumpstart, auto-container detection logic fixed

* Model Builder cleaned and added more unit tests

* Deploy happy-case for Triton and JumpStart (TGI)

* Better auto-container detection and user experience

* Remove debug print statements

* Removing bad unit tests

* Style and cleanup changes

* Removing unrelated unit tests for now (will migrate in the future to V3)

* Fix installation and Sentinel issue

* Attempt to fix installation issues aws#2

* Sentinel bug fix third attempt, support for tgi server

* PR Check installation issue fix attempt number four

* Resolving missing dependency issues

* Update dependencies for sagemaker_train

* serve folder flattening, support for local mode

* Fully supporting local mode and in process mode with integ tests

* ModelBuilder and Pipeline merged

* Better deploy logic and fixed bad imports

* Fixes for build() and deploy(), ModelTrainer support

---------

Co-authored-by: Zhaoqi <52220743+zhaoqizqwang@users.noreply.github.com>

* Update processor and model trainer (aws#1772)

* Test pipeline v3 (aws#1773)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Resolve conflict (aws#1774)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix ProcessingJob pipeline integration (aws#1778)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables (aws#1779)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Test pipeline v3 (aws#1781)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer.train() request (aws#1782)


* Fix ModelTrainer request

* Clean up code

* Cleaned up files and removed unneeded files (aws#1780)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Fix pipeline example notebooks

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Trinity updated (aws#1787)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* remote function, model card (aws#1786)

* Add model card to v3

Add unit tests passed. Compared the new classes with V2 classes

* fixed circular dep issue for modelcard testing

* remote function working preoperly now

---------

Co-authored-by: jzhaoqwa <52220743+zhaoqizqwang@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fixed optimize import error (aws#1791)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring (aws#1792)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Add model registry to v3 (aws#1794)

* Update model registry and examples

* tuner fix (aws#1796)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Add transformation job and example (aws#1797)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Update model registry and examples

* Add transformation job example

* Trinity update for model monitor (aws#1789)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* Trinity hyperparametertuner (aws#1798)

* tuner fix

* example for hyperparameter tuning

* rmvd unneeded files

* added back

---------

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Add pipeline_models key to ModelBuilder to support building model with multiple containers (aws#1799)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Update model registry and examples

* Add transformation job example

* Add feature to ModelBuild for building model with multiple containers (pipeline_models)

* fix code

* Continue fix pipeline model

* Model monitor in pipeline example updated, experiment config example added (aws#1801)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* model monitor in pipeline example updated, experiment config example added

* Support TuningStep in Pipeline (aws#1803)


* Support TuningStep in pipeline

* enables repack_model with js compatability (aws#1806)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fix model monitor example notebook, add experiment module example (aws#1809)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* model monitor in pipeline example updated, experiment config example added

* fix model monitor example notebook, add experiment module

* Add FrameworkProcessor to support Pytorch preprocessing (aws#1810)


* Add Framework Processor to support Pytorch models

* step decorator fix (aws#1812)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fix import error and eemove unused examples (aws#1814)


* Fix import error and eemove unused examples

* Support for FrameWork Models (aws#1808)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* Update ML Ops examples (aws#1815)

* Update ML Ops examples

* Update examples

* update transform job pipeline notebook (aws#1817)

* extra model card changes

* local container fix (aws#1820)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* SA Bugbash fixes (aws#1822)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* WIP: Updates to model builder and serve components

* WIP: Latest V3 ModelBuilder updates before upstream merge

* Test pipeline v3 (aws#1824)

* Update ML Ops examples

* Update examples

* Remove unused files

* clean up files

* Move over jumpstart utils

* feat: add jumpstart model_builder telemetry (aws#1784)

* add jumpstart model_builder telemetry

* chore: use is_jumpstart_model_id to detect JS use case

* feat: add tagging for JS model builder created from trainer

---------

Co-authored-by: aviruthen <91846056+aviruthen@users.noreply.github.com>

* Bug fixes for local mode and tensorflow-serving (aws#1829)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* WIP: Updates to model builder and serve components

* WIP: Latest V3 ModelBuilder updates before upstream merge

* Support for local mode on all model servers, support for tensorflow-serving

* Updated Autogen SageMaker-Core

* Bug Fixes for JumpStart, ModelTrainer ModelBuilder flow

* Bug fixes, code cleanup, and adding integration tests

* Migrating utils (aws#1832)

* fixed integ test imports

* fixed pyproj

* toml file fix

* fixed import paths and sm-train

* import update in example notebook

* modelbuilder

* modelbuilder utils reference deleted

* Import bug fixes for jumpstart

* fixes

* pyproj fix

* resource requirement fix

* Bug fixes for jumpstart and training

* model builder fix

* model builder merge

* notebooks fix and modeltrainer

* notebook role fix

---------

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>
Co-authored-by: aviruthen <91846056+aviruthen@users.noreply.github.com>

* Update MLOps integ tests and ModeBuilder model key(aws#1839)

* Add v3 inference example notebooks (aws#1840)

* Cleaned up example notebooks (aws#1841)

* Removed import warnings and organized example notebooks

* Updated folder name

* Removed legacy folder (aws#1843)

* Removed import warnings and organized example notebooks

* Updated folder name

* Removed legacy folder

* Remove unused files


* Remove files that depend on predictor classes

* Update Training tox.ini for V3 release

* Updating tox.ini and codebuild yaml for PR checks (aws#1850)

* Trinity (aws#1765)

* Test commit of new ModelBulider with V2 dependencies eliminated

* ModelBuilder.build() working for tgi server

* Support for torchserve, tgi, djl, triton, tei, mms, and smd

* Build fixed for jumpstart, auto-container detection logic fixed

* Model Builder cleaned and added more unit tests

* Deploy happy-case for Triton and JumpStart (TGI)

* Better auto-container detection and user experience

* Remove debug print statements

* Removing bad unit tests

* Style and cleanup changes

* Removing unrelated unit tests for now (will migrate in the future to V3)

* Fix installation and Sentinel issue

* Attempt to fix installation issues aws#2

* Sentinel bug fix third attempt, support for tgi server

* PR Check installation issue fix attempt number four

* Resolving missing dependency issues

* Update dependencies for sagemaker_train

* serve folder flattening, support for local mode

* Fully supporting local mode and in process mode with integ tests

* ModelBuilder and Pipeline merged

* Better deploy logic and fixed bad imports

* Trinity updated (aws#1769)

* Test commit of new ModelBulider with V2 dependencies eliminated

* ModelBuilder.build() working for tgi server

* Support for torchserve, tgi, djl, triton, tei, mms, and smd

* Build fixed for jumpstart, auto-container detection logic fixed

* Model Builder cleaned and added more unit tests

* Deploy happy-case for Triton and JumpStart (TGI)

* Better auto-container detection and user experience

* Remove debug print statements

* Removing bad unit tests

* Style and cleanup changes

* Removing unrelated unit tests for now (will migrate in the future to V3)

* Fix installation and Sentinel issue

* Attempt to fix installation issues aws#2

* Sentinel bug fix third attempt, support for tgi server

* PR Check installation issue fix attempt number four

* Resolving missing dependency issues

* Update dependencies for sagemaker_train

* serve folder flattening, support for local mode

* Fully supporting local mode and in process mode with integ tests

* ModelBuilder and Pipeline merged

* Better deploy logic and fixed bad imports

* Fixes for build() and deploy(), ModelTrainer support

---------

Co-authored-by: Zhaoqi <52220743+zhaoqizqwang@users.noreply.github.com>

* Update processor and model trainer (aws#1772)

* Test pipeline v3 (aws#1773)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Resolve conflict (aws#1774)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix ProcessingJob pipeline integration (aws#1778)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables (aws#1779)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Test pipeline v3 (aws#1781)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer.train() request (aws#1782)


* Fix ModelTrainer request

* Clean up code

* Cleaned up files and removed unneeded files (aws#1780)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Fix pipeline example notebooks

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Trinity updated (aws#1787)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* remote function, model card (aws#1786)

* Add model card to v3

Add unit tests passed. Compared the new classes with V2 classes

* fixed circular dep issue for modelcard testing

* remote function working preoperly now

---------

Co-authored-by: jzhaoqwa <52220743+zhaoqizqwang@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fixed optimize import error (aws#1791)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring (aws#1792)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Add model registry to v3 (aws#1794)

* Update model registry and examples

* tuner fix (aws#1796)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Add transformation job and example (aws#1797)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Update model registry and examples

* Add transformation job example

* Trinity update for model monitor (aws#1789)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* Trinity hyperparametertuner (aws#1798)

* tuner fix

* example for hyperparameter tuning

* rmvd unneeded files

* added back

---------

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Add pipeline_models key to ModelBuilder to support building model with multiple containers (aws#1799)

* Update processor and model trainer

* Add Pipeline Variable class to sagemaker core

* Update PipelineVariable usage and imports

* Fix processing.py for pipeline integration

* Remove logs

* More fixes on ModelTrainer's compatibility with PipelineVariables

* Fix PipelineVariables used in ModelBuilder

* Fix ModelTrainer request

* Clean up code

* Fix v3 pipeline examples

* Update model registry and examples

* Add transformation job example

* Add feature to ModelBuild for building model with multiple containers (pipeline_models)

* fix code

* Continue fix pipeline model

* Model monitor in pipeline example updated, experiment config example added (aws#1801)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* model monitor in pipeline example updated, experiment config example added

* Support TuningStep in Pipeline (aws#1803)


* Support TuningStep in pipeline

* enables repack_model with js compatability (aws#1806)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fix model monitor example notebook, add experiment module example (aws#1809)

* model monitoring test and fix

* model monitor changes and notebook (needs final run through)

* remove unused notebook

* add actual notebook

* file dir change

* clarify added and model monitor fixed

* model monitor in pipeline example updated, experiment config example added

* fix model monitor example notebook, add experiment module

* Add FrameworkProcessor to support Pytorch preprocessing (aws#1810)


* Add Framework Processor to support Pytorch models

* step decorator fix (aws#1812)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* Fix import error and eemove unused examples (aws#1814)


* Fix import error and eemove unused examples

* Support for FrameWork Models (aws#1808)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* Update ML Ops examples (aws#1815)

* Update ML Ops examples

* Update examples

* update transform job pipeline notebook (aws#1817)

* extra model card changes

* local container fix (aws#1820)

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>

* SA Bugbash fixes (aws#1822)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* WIP: Updates to model builder and serve components

* WIP: Latest V3 ModelBuilder updates before upstream merge

* Test pipeline v3 (aws#1824)

* Update ML Ops examples

* Update examples

* Remove unused files

* clean up files

* Move over jumpstart utils

* feat: add jumpstart model_builder telemetry (aws#1784)

* add jumpstart model_builder telemetry

* chore: use is_jumpstart_model_id to detect JS use case

* feat: add tagging for JS model builder created from trainer

---------

Co-authored-by: aviruthen <91846056+aviruthen@users.noreply.github.com>

* Bug fixes for local mode and tensorflow-serving (aws#1829)

* Minor bug fixes for ModelBuilder experience

* Cleaned up files and removed unneeded files

* Small fix to pass kwargs through _deploy()

* Bug fixes for xgboost, sklearn, tgi, and tei

* Optimize import fix

* Removing llm_utils dependency

* Bugbash fixes, including region support, role_arn optional, and progress monitoring

* Keep CUDA warning and don't hardcode fallback region

* Support for XGBoost, SKLearn, and other framework models

* WIP: Updates to model builder and serve components

* WIP: Latest V3 ModelBuilder updates before upstream merge

* Support for local mode on all model servers, support for tensorflow-serving

* Updated Autogen SageMaker-Core

* Bug Fixes for JumpStart, ModelTrainer ModelBuilder flow

* Bug fixes, code cleanup, and adding integration tests

* Migrating utils (aws#1832)

* fixed integ test imports

* fixed pyproj

* toml file fix

* fixed import paths and sm-train

* import update in example notebook

* modelbuilder

* modelbuilder utils reference deleted

* Import bug fixes for jumpstart

* fixes

* pyproj fix

* resource requirement fix

* Bug fixes for jumpstart and training

* model builder fix

* model builder merge

* notebooks fix and modeltrainer

* notebook role fix

---------

Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>
Co-authored-by: aviruthen <91846056+aviruthen@users.noreply.github.com>

* Update MLOps integ tests and ModeBuilder model key(aws#1839)

* Add v3 inference example notebooks (aws#1840)

* Cleaned up example notebooks (aws#1841)

* Removed import warnings and organized example notebooks

* Updated folder name

* Removed legacy folder (aws#1843)

* Removed import warnings and organized example notebooks

* Updated folder name

* Removed legacy folder

* Remove unused files


* Remove files that depend on predictor classes

* test commit to trigger pr checks

* Fixed tox.ini files and codebuild workflow yaml for PR checks

---------

Co-authored-by: Zhaoqi <52220743+zhaoqizqwang@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <81834882+mohamedzeidan2021@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>
Co-authored-by: Molly He <mollyhe@amazon.com>
Co-authored-by: Rohan Narayan <narrohag@amazon.com>

* Removing estimator import (aws#1852)

* Adding back MMS and TEI folders (accidentally deleted) (aws#1853)

* Removing estimator import

* Adding back MMS and TEI folders

* Recreate PR review for exposing parameters and functions for ModelBuilder (aws#1854)

* Updated user-exposed functions and parameters

* Updating deploy() header

* Simplifying build() and optimize()

* Update integration tests

* Final update to model_builder.py

* Add unit tests to MLOps, Fix sagemaker-train tests, remove unused imp… (aws#1856)

* Add unit tests to MLOps, Fix sagemaker-train tests, remove unused imports

* Add unit tests to MLOps, Fix sagemaker-train tests

* Add sagemaker-serve unit tests (aws#1858)

* Bug fixes for integ tests (aws#1859)

* Add core unit tests (aws#1860)

 Fix sagemaker core unit tests

* Add serve unit tests (aws#1861)

* Add sagemaker-serve unit tests

* Fix sagemaker core unit tests

* More fixes for the unit tests

* ModelBuilder follow up fixes

* ModelBuilder example fixes

* Update integ tests (aws#1864)

* Fix optimize integ test (aws#1866)

* Update readme and changelog

* Update readme, changelogs

* Add comprehensive unit tests for sagemaker-core (aws#1870)

* Test for Model BUilder servers (aws#1871)

* Add sagemaker-core unit test (aws#1872)

* Add sagemaker-train and sagemaker-mlops unit tests (aws#1873)

* Add sagemaker-train and sagemaker-mlops unit tests

* Add sagemaker-serve unit tests

* Fix: Include region_config.json in package data (aws#1875)

* Add MLOps integ tests (aws#1877)

* Add additional sagemaker-serve unit tests (aws#1878)

* removed one integ tests (aws#1879)

---------

Co-authored-by: Zhaoqi <52220743+zhaoqizqwang@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <81834882+mohamedzeidan2021@users.noreply.github.com>
Co-authored-by: Mohamed Zeidan <zeidmo@amazon.com>
Co-authored-by: Molly He <mollyhe@amazon.com>
Co-authored-by: Rohan Narayan <narrohag@amazon.com>
Co-authored-by: Gokul Anantha Narayanan <166456257+nargokul@users.noreply.github.com>

Author: 7 people

.github/workflows/submodule-codebuild-ci.yml

@@ -5,8 +5,7 @@ on:
       - "master-v3"
     paths:
       - 'sagemaker-train/**'
-      - 'sageamaker-serve/**'
-      - 'sagemaker-core/**'
+      - 'sagemaker-serve/**'
       - 'sagemaker-mlops/**'
 
 concurrency:
@@ -159,4 +158,4 @@ jobs:
         uses: aws-actions/aws-codebuild-run-build@v1
         with:
           project-name: ${{ github.event.repository.name }}-ci-${{ matrix.submodule }}-integ-tests
-          source-version-override: 'refs/pull/${{ github.event.pull_request.number }}/head^{${{ github.event.pull_request.head.sha }}}'
+          source-version-override: 'refs/pull/${{ github.event.pull_request.number }}/head^{${{ github.event.pull_request.head.sha }}}'