amazon-sagemaker-examples

by aws · Machine Learning

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon Sa

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Machine LearningAI ApplicationJupyter NotebookPython
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About this project

:exclamation::fire: Announcing SageMaker-Core: A New Python SDK for Amazon SageMaker :fire::exclamation: Introduction Today, Amazon SageMaker is excited to announce the release of SageMaker-Core, a new Python SDK that provides an object-oriented interface for interacting with SageMaker resources such as TrainingJob, Model, and Endpoint. This SDK introduces the resource chaining feature, allowing developers to pass resource objects as parameters, eliminating manual parameter specification and simplifying code management. SageMaker-Core abstracts low-level details like resource state transitions and polling logic, achieving full parity with SageMaker APIs. It also includes usability…

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JavaScriptShellPythonHTMLdeep-learningJupyter Notebookdata-scienceaws

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Actively maintained
Last update4 days ago
Contributors391
Latest releasev0.1.0
Open issues & PRs849
LicenseApache-2.0
On GitHubsince 2017

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