Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Falcon BYOC xgboost - first commit (#3982)
* Falcon BYOC xgboost - first commit * Markdown fixes - dbl quote featurizer, add links to xgboost, sklearn * rename request_body var to input_data in featurizer/code/inference.py * Markdown fixes - renamed featurizer to preprocessor * Markdown fixes for predictor, serial-inf-pipelines * updated README.md, renamed inference.py to preprocessing.py * updated images to reflect Dockerfile and script name * Replace pickle.load with joblib.load, update Dockerfile * update wsgi.py to import preprocessing.py as app * updated s3 url for dataset to sagemaker-example-files-prod-REGION * black-nb formatting on featurizer.ipynb * grammar fixes * add CI badges, download model from s3, end2end run fixes * cleared notebook outputs * commented out cells with curl commands * test * test * test --------- Co-authored-by: EC2 Default User <ec2-user@ip-172-16-30-98.us-west-2.compute.internal> Co-authored-by: atqy <atqy@amazon.com> Co-authored-by: atqy <95724753+atqy@users.noreply.github.com>
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Praveen Chamarthi committed
42e91dd7a16f717f29f733a7c779ea9646d1c672
Parent: aa15bb5
Committed by GitHub <noreply@github.com>
on 8/18/2023, 12:41:05 AM