sagemaker
v2.73.0
  • Using the SageMaker Python SDK
  • Use Version 2.x of the SageMaker Python SDK
  • APIs
    • Feature Store APIs
    • Training APIs
    • Distributed Training APIs
    • Inference APIs
    • Utility APIs
  • Frameworks
  • First-Party Algorithms
  • Workflows
  • Amazon SageMaker Debugger
  • Amazon SageMaker Feature Store
  • Amazon SageMaker Model Monitor
  • Amazon SageMaker Processing
sagemaker
  • »
  • APIs
  • Edit on GitHub

APIsΒΆ

The SageMaker Python SDK consists of a variety classes for preparing data, training, inference and general utility:

  • Feature Store APIs
    • Feature group
    • Feature definition
    • Inputs
  • Training APIs
    • Analytics
    • AutoML
    • Debugger
    • Estimators
    • Algorithm Estimator
    • HyperparameterTuner
    • Parameters
    • Processing
  • Distributed Training APIs
    • The SageMaker Distributed Data Parallel Library
    • The SageMaker Distributed Model Parallel Library
  • Inference APIs
    • Deserializers
    • Model
    • Model Monitor
    • MultiDataModel
    • PipelineModel
    • Predictors
    • Serializers
    • Transformer
  • Utility APIs
    • Image URIs
    • Inputs
    • Lambda Utilities
    • Network Configuration
    • S3 Utilities
    • Session
Next Previous

© Copyright 2022, Amazon Revision 4f66d51a.

Built with Sphinx using a theme provided by Read the Docs.