APIs

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
  • Dataset Builder
  • Feature Store
  • @feature_processor Decorator
  • Feature Processor Data Source
  • Feature Processor Scheduler and Triggers
• Training APIs
  • ModelTrainer
  • Algorithm Estimator
  • Analytics
  • AutoML
  • AutoMLV2
  • Debugger
  • Estimators
  • HyperparameterTuner
  • Parameters
  • Processing
  • Profiler
• Distributed Training APIs
  • The SageMaker Distributed Data Parallel Library
  • The SageMaker Distributed Model Parallel Library
• Inference APIs
  • Async Inference
  • Deserializers
  • Online Explainability
  • Model
  • Model Builder
  • Model Collection
  • Model Monitor
  • MultiDataModel
  • PipelineModel
  • AsyncPredictor
  • Predictors
  • Serializers
  • Serverless Inference
  • Transformer
• Governance APIs
  • Amazon SageMaker Model Cards
• Utility APIs
  • Accept Types
  • Config
  • Content Types
  • Environment Variables
  • FeatureGroup Utilities
  • Hyperparameters
  • Image URIs
  • Inputs
  • Instance Group
  • Instance Types
  • Interactive Apps
  • Lambda Utilities
  • Metric Definitions
  • Model URIs
  • Network Configuration
  • S3 Utilities
  • Script URIs
  • Session