Merge #30 Feature Store, Model Reg, AutoGluon

Update initial XGBoost+HPO exercise to briefly mention some exciting newer SageMaker features: Bring in data via SM Feature Store; Compare model versions via SM Model Registry; and show AutoGluon-Tabular algo for high accuracy on tabular datasets. Update this exercise to DSci v3.0 kernel, and the SAM deployment template to use that kernel.
aws-samples · Nov 23, 2022 · f35d8f1 · f35d8f1
2 parents 3242cd3 + 5f5d6d4
commit f35d8f1
Show file tree

Hide file tree

Showing 15 changed files with 2,263 additions and 1,017 deletions.
diff --git a/.infrastructure/template.sam.yaml b/.infrastructure/template.sam.yaml
@@ -441,23 +441,23 @@ Resources:
       DomainId: !GetAtt StudioDomain.DomainId
       UserProfileName: !GetAtt UserProfile.UserProfileName
 
-  # Pre-warm the default Python 3 (Data Science) kernel to make first exercise start-up faster:
-  SMDataScienceApp:
+  # Pre-warm the Data Science 3.0 kernel to make first exercise start-up faster:
+  SMDataScience3App:
     Type: 'AWS::SageMaker::App'
     DependsOn: UserProfile
     Properties: 
-      AppName: instance-prewarm-datascience-ml-t3-medium
+      AppName: instance-prewarm-datascience3-ml-t3-medium
       AppType: KernelGateway
       DomainId: !GetAtt StudioDomain.DomainId
       ResourceSpec: 
         InstanceType:  ml.t3.medium
         SageMakerImageArn: !FindInMap
           - RegionMap
           - !Ref 'AWS::Region'
-          - datascience
+          - datascience3
       UserProfileName: !GetAtt UserProfile.UserProfileName
 
-  # ...Also the new Data Science 2.0 kernel in case we want to try out JupyterLab debugger:
+  # ...Also the Data Science 2.0 kernel, for Autopilot exercise:
   SMDataScience2App:
     Type: 'AWS::SageMaker::App'
     DependsOn: UserProfile

diff --git a/builtin_algorithm_hpo_tabular/1 Autopilot and XGBoost.ipynb b/builtin_algorithm_hpo_tabular/1 Autopilot and XGBoost.ipynb
diff --git a/builtin_algorithm_hpo_tabular/2 AutoGluon (Optional).ipynb b/builtin_algorithm_hpo_tabular/2 AutoGluon (Optional).ipynb
diff --git a/builtin_algorithm_hpo_tabular/SageMaker XGBoost HPO.ipynb b/builtin_algorithm_hpo_tabular/SageMaker XGBoost HPO.ipynb
diff --git a/builtin_algorithm_hpo_tabular/img/autopilot-01-select-data.png b/builtin_algorithm_hpo_tabular/img/autopilot-01-select-data.png
diff --git a/builtin_algorithm_hpo_tabular/img/autopilot-02-select-features.png b/builtin_algorithm_hpo_tabular/img/autopilot-02-select-features.png
diff --git a/builtin_algorithm_hpo_tabular/img/autopilot-03-select-mode.png b/builtin_algorithm_hpo_tabular/img/autopilot-03-select-mode.png
diff --git a/builtin_algorithm_hpo_tabular/img/autopilot-04-runtime.png b/builtin_algorithm_hpo_tabular/img/autopilot-04-runtime.png
diff --git a/builtin_algorithm_hpo_tabular/img/autopilot-create-experiment.png b/builtin_algorithm_hpo_tabular/img/autopilot-create-experiment.png
diff --git a/builtin_algorithm_hpo_tabular/img/feature-store-features.png b/builtin_algorithm_hpo_tabular/img/feature-store-features.png
diff --git a/builtin_algorithm_hpo_tabular/img/model-registry-compare.png b/builtin_algorithm_hpo_tabular/img/model-registry-compare.png
diff --git a/builtin_algorithm_hpo_tabular/util/__init__.py b/builtin_algorithm_hpo_tabular/util/__init__.py
@@ -0,0 +1,2 @@
+from . import reporting
+from . import data
diff --git a/builtin_algorithm_hpo_tabular/util/classification_report.py b/builtin_algorithm_hpo_tabular/util/classification_report.py