This is a blank project for CDK development with TypeScript.
The cdk.json file tells the CDK Toolkit how to execute your app.
npm run buildcompile typescript to jsnpm run watchwatch for changes and compilenpm run testperform the jest unit testscdk deploydeploy this stack to your default AWS account/regioncdk diffcompare deployed stack with current statecdk synthemits the synthesized CloudFormation template
ag-deploy-cdk/
├── README.md
├── bin
│ └── ag-deploy-cdk.ts
├── cdk.json
├── jest.config.js
├── lib
│ └── ag-deploy-cdk-stack.ts
├── model
│ ├── deploy
│ │ ├── README.md
│ │ └── model.tar.gz # Deployable archive assembled from components in src/
│ └── src
│ ├── code
│ │ ├── inference.py
│ │ └── requirements.txt # Inference script
│ └── model # AutoGluon model files are going here
│ ├── README.md
│ ├── __version__
│ ├── learner.pkl
│ ├── models
│ │ ├── KNeighborsUnif
│ │ │ └── model.pkl
│ │ ├── LightGBM
│ │ │ └── model.pkl
│ │ └── ...
│ └── predictor.pkl
├── package-lock.json
├── package.json
├── script
│ └── pack_models.sh # Script to pack components from model/src into model/deploy.tar.gz
├── test
│ └── ag-deploy-cdk.test.ts
└── tsconfig.json
import boto3
import json
endpoint = 'AutoGluonEndpoint-Endpoint'
runtime = boto3.Session().client('sagemaker-runtime')
payload = test_data.drop(columns=label).to_csv(index=False, header=False)
response = runtime.invoke_endpoint(EndpointName=endpoint, ContentType='text/csv', Body=payload)
# Unpack response
result = json.loads(response['Body'].read().decode())
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