Sagemaker Api

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    Related websites

    API Reference - Amazon SageMaker

    WEBJun 21, 2024 · API Reference - Amazon SageMaker. PDF RSS. Making API calls directly from code is cumbersome, and requires you to write code to authenticate your requests. Amazon SageMaker provides the following alternatives: Topics. Programming Model for Amazon SageMaker. APIs, CLI, and SDKs. Discover highly rated pages. Preview. …

    Docs.aws.amazon.com


    Welcome - Amazon SageMaker

    WEBProvides APIs for creating and managing SageMaker resources. Other Resources: The Amazon SageMaker runtime API. SageMaker Edge Manager dataplane service for communicating with active agents. Contains all data plane API operations and data types for the Amazon SageMaker Feature Store.

    Docs.aws.amazon.com


    Amazon SageMaker Documentation

    WEBAmazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly build and train machine learning models, and then deploy them into a production-ready hosted environment.

    Docs.aws.amazon.com


    Amazon SageMaker Python SDK — sagemaker 2.226.0 …

    WEBWith the SDK, you can train and deploy models using popular deep learning frameworks, algorithms provided by Amazon, or your own algorithms built into SageMaker-compatible Docker images. Here you’ll find an overview and API documentation for …

    Sagemaker.readthedocs.io


    SageMaker - Boto3 1.34.144 documentation - Amazon Web …

    WEBA low-level client representing Amazon SageMaker Service. Provides APIs for creating and managing SageMaker resources. Other Resources: SageMaker Developer Guide. Amazon Augmented AI Runtime API Reference. importboto3client=boto3.client('sagemaker') These are the available methods: add_association. add_tags.

    Boto3.amazonaws.com


    Call an Amazon SageMaker model endpoint using Amazon API …

    WEBJul 19, 2018 · After the model is trained and deployed, you can invoke the model endpoint using the SageMaker runtime API. To make it free from server and infrastructure management, we encapsulate this invocation using API Gateway and Lambda.

    Aws.amazon.com


    Estimators — sagemaker 2.226.0 documentation - Read the Docs

    WEBThe API calls the Amazon SageMaker CreateTrainingJob API to start model training. The API uses configuration you provided to create the estimator and the specified input training data to send the CreatingTrainingJob request to Amazon SageMaker.

    Sagemaker.readthedocs.io


    Machine Learning Service - Amazon SageMaker - AWS

    WEBWith SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE).

    Aws.amazon.com


    Machine Learning Service – Amazon SageMaker FAQs – AWS

    WEBsagemaker apis run in Amazon proven high-availability data centers, with service stack replication configured across three facilities in each Region to provide fault tolerance in the event of a server failure or Availability Zone outage. How does SageMaker secure my code?

    Aws.amazon.com


    aws/amazon-sagemaker-examples - GitHub

    WEBAmazon SageMaker Clarify Model Monitors shows how to use SageMaker Clarify Model Monitor API to schedule bias monitor to monitor predictions for bias drift on a regular basis, and schedule explainability monitor to monitor predictions for …

    Github.com


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