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* feat: Add notebooks for step decorator (#272) * UCI heart example for step decorator with EMR step for preprocessing (#266) * UCI heart example for step decorator with EMR step for preprocessing * UCI heart example for step decorator with EMR step, after linter * UCI heart example for step decorator with EMR step, after linter * removed content_types * using prod S3 bucket * using XGBClassifier * fix code format --------- Co-authored-by: feliplp <feliplp@amazon.com> Co-authored-by: Dewen Qi <qidewen@amazon.com> * add notebook example on basic pipeline for batch inference using step decorator (#264) * add basic pipeline for batch inference using step decorator * change Booster to XGBClassifier; incorporating feedback from aws/amazon-sagemaker-examples-staging#264 * fix minor typos * incorporate comments from PR aws/amazon-sagemaker-examples-staging#264 * incorporate feedback from aws/amazon-sagemaker-examples-staging#264 --------- Co-authored-by: pprasety <pprasety@amazon.com> * Add remote-function notebook fixes (#265) Co-authored-by: svia3 <svia@amazon.com> * Add pipeline step decorator quick start notebook (#267) add pipeline scheduler examples Address comments and refine Add pipeline step decorator ablone notebook Address review meeting comments Update clean up sections Add rate-based schedules back Udpate notebooks for Public Beta Fix the colliding endpoint name across different executions Upgrading pandas to fix ImportError in Studio DataScience 3.0 image add scheduler-light additions to quick_start notebook add scheduler-light additions to quick_start notebook fix invalid notebook json Update notebooks for GA Add modular package for lightsaber Add a simple notebook to demonstrate mix use of training step and step deco Address comments fix pipeline delete resouce leak issue in using_step_decorator notebook dummy commit Co-authored-by: Dewen Qi <qidewen@amazon.com> * remove local SDK tar and retrieve SDK from public --------- Co-authored-by: Felipe Lopez <felipelopez@utexas.edu> Co-authored-by: feliplp <feliplp@amazon.com> Co-authored-by: Dewen Qi <qidewen@amazon.com> Co-authored-by: Philips Kokoh <philipskokoh@users.noreply.github.com> Co-authored-by: pprasety <pprasety@amazon.com> Co-authored-by: Stephen Via <51342648+svia3@users.noreply.github.com> Co-authored-by: svia3 <svia@amazon.com> * Notebook Job Step Example (#274) * Create README.md * Adding notebooks * Delete sagemaker-pipelines/notebook-job-step/README.md * Adding example for inference components and managed instance scaling for SageMaker real time hosting and inference (#275) * Cleaned up notebooks Cleaned up for initial push to staging * removed references to goldfinch * Updated readme * moved to proper directory * fixed session object reference * Updated session variable * Updated with logic to check store vars. Need to remove internal only code * linted notebooks and added test header and footers * Fixed prompt and parameters for codegen25 * Updated descriptions, added handling * Removed custom model shapes * Making Jumpstart notebooks Python 3.10 compatible (#269) * removed roleARN which is not needed * smart sifting notebooks (#281) * smart sifting notebooks * smart sifting notebooks updated description * Added new flow diagram --------- Co-authored-by: Arun Lokanatha <aruncs2005@gmail.com> --------- Co-authored-by: qidewenwhen <32910701+qidewenwhen@users.noreply.github.com> Co-authored-by: Felipe Lopez <felipelopez@utexas.edu> Co-authored-by: feliplp <feliplp@amazon.com> Co-authored-by: Dewen Qi <qidewen@amazon.com> Co-authored-by: Philips Kokoh <philipskokoh@users.noreply.github.com> Co-authored-by: pprasety <pprasety@amazon.com> Co-authored-by: Stephen Via <51342648+svia3@users.noreply.github.com> Co-authored-by: svia3 <svia@amazon.com> Co-authored-by: Ram Vegiraju <48113975+RamVegiraju@users.noreply.github.com> Co-authored-by: James Park <james.park@gmail.com> Co-authored-by: Pooja Karadgi <145802871+poojak13@users.noreply.github.com> Co-authored-by: Arun Lokanatha <arunkumarl87@gmail.com> Co-authored-by: Arun Lokanatha <aruncs2005@gmail.com>
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