Reinvent22 (#3686)

* Adding example for native AutoML step in SageMaker Pipelines. (#211)

* Adding example for native AutoML step in SageMaker Pipelines.

* Adding SageMaker Geospatial example for Digital Farming (#213)

* Adding digital-farming-pipelines notebooks

* Adding digital-farming-pipelines notebooks

* Update pipelines-sagemaker-geospatial.ipynb

* Update pipelines-sagemaker-geospatial.ipynb

* Update pipelines-sagemaker-geospatial.ipynb

* Update pipelines-sagemaker-geospatial.ipynb

* Adding digital-farming-pipelines notebooks

* Adding digital-farming-pipelines notebooks

* Adding code folder

* Adding Lambda function

* Adjusting notebook

* Adjuting roles

* Adjusted roles

* Updated notebooks

* Updated notebooks format

* Adding Scheduled Notebook (Keynote2) (#216)

* * Add scheduled notebook example

* Update notebook

* Format

* Change image dir

* Resolve comments.

* Resolve comments.

* Resolve comments.

* Add example notebook for model governance model card (#217)

Co-authored-by: Zhenshan Jin <[email protected]>

* shadow endpoint (#219)

* initial commit

* minor fix

* minor fixes

* add inference experiment notebook

add inference experiment notebook

* Add shadow endpoint notebook (#215)

* initial commit

* add inference experiment notebook

add inference experiment notebook

Co-authored-by: Qingwei Li<[email protected]>
Co-authored-by: Shreya Pandit <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>

* Revert "Add shadow endpoint notebook (#215)" (#218)

This reverts commit b6d2fd203f7f85670478556e902ad2bb86a1a882.

* reformat

* reviewer's comments addressed

* clear output

* fix and reformat nb

* reformat nb

* remove notebook

* markdown change

Co-authored-by: EC2 Default User <[email protected]>
Co-authored-by: Shreya Pandit <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>
Co-authored-by: EC2 Default User <[email protected]>

* rename sagemaker-shadow-endpoint folder

* upgrade pip packages for reinvent

* install from reinvent wheels temporarily

* Keynote2 rtd (#224)

* remove --no-deps tags from notebook

* configure rst files for reinvent notebooks + fix any rtd leveling issues

* make corrections

* reformat

* updated shadow_variants with Alwin's work (#225)

* initial commit

* minor fix

* minor fixes

* add inference experiment notebook

add inference experiment notebook

* Add shadow endpoint notebook (#215)

* initial commit

* add inference experiment notebook

add inference experiment notebook

Co-authored-by: Qingwei Li<[email protected]>
Co-authored-by: Shreya Pandit <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>

* Revert "Add shadow endpoint notebook (#215)" (#218)

This reverts commit b6d2fd203f7f85670478556e902ad2bb86a1a882.

* reformat

* reviewer's comments addressed

* clear output

* fix and reformat nb

* reformat nb

* remove notebook

* markdown change

* Alwin's edit

add edits from Alwin

* reformat

* change folder name

Co-authored-by: EC2 Default User <[email protected]>
Co-authored-by: Shreya Pandit <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>
Co-authored-by: EC2 Default User <[email protected]>
Co-authored-by: atqy <[email protected]>
Co-authored-by: atqy <[email protected]>

* add region tag to allow download from opt-in regions (#226)

* add region tag to allow download from opt-in regions

* add region tag to allow download from opt-in regions

* Trigger Build

Co-authored-by: Marcelo Aberle <[email protected]>
Co-authored-by: Antonio Rodriguez <[email protected]>
Co-authored-by: Sean Morgan <[email protected]>
Co-authored-by: Zhenshan Jin <[email protected]>
Co-authored-by: Zhenshan Jin <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>
Co-authored-by: EC2 Default User <[email protected]>
Co-authored-by: Shreya Pandit <[email protected]>
Co-authored-by: Qingwei Li <[email protected]>
Co-authored-by: EC2 Default User <[email protected]>

Author: 11 people

README.md

@@ -230,6 +230,7 @@ These examples show you how to use [SageMaker Pipelines](https://aws.amazon.com/
 - [Multi-model SageMaker Pipeline with Hyperparamater Tuning and Experiments](sagemaker-pipeline-multi-model) shows how you can generate a regression model by training real estate data from Athena using Data Wrangler, and uses multiple algorithms both from a custom container and a SageMaker container in a single pipeline.
 - [SageMaker Pipeline Local Mode with FrameworkProcessor and BYOC for PyTorch with sagemaker-training-toolkig](sagemaker-pipelines/tabular/local-mode/framework-processor-byoc)
 - [SageMaker Pipeline Step Caching](sagemaker-pipelines/tabular/caching) shows how you can leverage pipeline step caching while building pipelines and shows expected cache hit / cache miss behavior.
+- [Native AutoML step in SageMaker Pipelines](sagemaker-pipelines/tabular/automl-step/sagemaker_autopilot_pipelines_native_auto_ml_step.ipynb) shows how you can use SageMaker Autopilot with a native AutoML step in SageMaker Pipelines for end-to-end AutoML training automation.
 
 ### Amazon SageMaker Pre-Built Framework Containers and the Python SDK
 

autopilot/index.rst

@@ -4,21 +4,22 @@ Get started with Autopilot
 .. image:: https://readthedocs.org/projects/sagemaker-examples-test-website/badge/?version=latest
 
 .. toctree::
-   :maxdepth: 0
+   :maxdepth: 1
 
    sagemaker_autopilot_direct_marketing
    sagemaker_autopilot_abalone_parquet_input
    sagemaker_autopilot_neo4j_portfolio_churn
    autopilot_customer_churn_high_level_with_evaluation
    autopilot_california_housing
    autopilot_customer_churn
+   sagemaker-autopilot-pipelines/autopilot_pipelines_demo_notebook
 
 
 Feature selection
 ==========================
 
 .. toctree::
-   :maxdepth: 0
+   :maxdepth: 1
 
    custom-feature-selection/Feature_selection_autopilot
 
@@ -27,6 +28,15 @@ Model explainability
 ==========================
 
 .. toctree::
-   :maxdepth: 0
+   :maxdepth: 1
 
    model-explainability/explaining_customer_churn_model
+
+
+Autopilot Pipelines
+==========================
+
+.. toctree::
+   :maxdepth: 1
+
+   sagemaker-autopilot-pipelines/autopilot_pipelines_demo_notebook