- s3 (sagemaker.core.shapes.shapes.OptimizationJobModelSource attribute), [1]
- s3_artifact_path (sagemaker.core.shapes.shapes.WorkspaceSettings attribute), [1]
- s3_compression_type (sagemaker.core.shapes.shapes.ProcessingS3Input attribute), [1]
- s3_data_distribution_type (sagemaker.core.modules.configs.S3DataSource attribute), [1]
- s3_data_source (sagemaker.core.jumpstart.AdditionalModelDataSource attribute)
- s3_data_type (sagemaker.core.jumpstart.S3DataSource attribute)
- (sagemaker.core.jumpstart.types.S3DataSource attribute)
- (sagemaker.core.modules.configs.S3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.AdditionalS3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.AutoMLS3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.ModelSpeculativeDecodingTrainingDataSource attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingS3Input attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingS3InputInternal attribute), [1]
- (sagemaker.core.shapes.shapes.S3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.S3ModelDataSource attribute), [1]
- (sagemaker.core.shapes.shapes.TransformS3DataSource attribute), [1]
- (sagemaker.core.training.configs.S3DataSource attribute), [1]
- s3_download_mode (sagemaker.core.shapes.shapes.ProcessingS3InputInternal attribute), [1]
- s3_export_artifacts (sagemaker.core.shapes.shapes.ModelCardExportArtifacts attribute), [1]
- s3_failure_path (sagemaker.core.shapes.shapes.AsyncInferenceOutputConfig attribute), [1]
- s3_file_system (sagemaker.core.shapes.shapes.CustomFileSystem attribute), [1]
- s3_file_system_config (sagemaker.core.shapes.shapes.CustomFileSystemConfig attribute), [1]
- s3_input (sagemaker.core.shapes.shapes.ProcessingInput attribute), [1]
- s3_input_mode (sagemaker.core.shapes.shapes.BatchTransformInput attribute), [1]
- s3_job_progress (sagemaker.core.shapes.shapes.TransformJobProgress attribute), [1]
- s3_kms_encryption_context (sagemaker.core.shapes.shapes.EvaluationJobUpstreamPlatformCustomerOutputDataConfig attribute), [1]
- s3_kms_key_id (sagemaker.core.shapes.shapes.SharingSettings attribute), [1]
- s3_model_artifacts (sagemaker.core.shapes.shapes.ModelArtifacts attribute), [1]
- s3_model_data_url (sagemaker.mlops.ModelBuilder attribute), [1]
- s3_output (sagemaker.core.shapes.shapes.MonitoringOutput attribute), [1]
- s3_output_location (sagemaker.core.shapes.shapes.EdgeOutputConfig attribute), [1]
- s3_output_path (sagemaker.core.debugger.debugger.RuleBase attribute)
- (sagemaker.core.jumpstart.hub.interfaces.HubS3StorageConfig attribute)
- (sagemaker.core.modules.configs.OutputDataConfig attribute), [1]
- (sagemaker.core.modules.configs.TensorBoardOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.AsyncInferenceOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.AutoMLOutputDataConfig attribute), [1]
- (sagemaker.core.shapes.shapes.DebugHookConfig attribute), [1]
- (sagemaker.core.shapes.shapes.DebugRuleConfiguration attribute), [1]
- (sagemaker.core.shapes.shapes.EnvironmentConfigDetails attribute), [1]
- (sagemaker.core.shapes.shapes.FlowDefinitionOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.GroundTruthJobOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.HubS3StorageConfig attribute), [1]
- (sagemaker.core.shapes.shapes.LabelingJobOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.ModelCardExportOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.OutputChannel attribute), [1]
- (sagemaker.core.shapes.shapes.OutputDataConfig attribute), [1]
- (sagemaker.core.shapes.shapes.ProfilerConfig attribute), [1]
- (sagemaker.core.shapes.shapes.ProfilerConfigForUpdate attribute), [1]
- (sagemaker.core.shapes.shapes.ProfilerRuleConfiguration attribute), [1]
- (sagemaker.core.shapes.shapes.SharingSettings attribute), [1]
- (sagemaker.core.shapes.shapes.TensorBoardOutputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.TransformOutput attribute), [1]
- (sagemaker.core.shapes.shapes.TrustedEnvironmentDetails attribute), [1]
- (sagemaker.core.training.configs.OutputDataConfig attribute)
- (sagemaker.core.training.configs.TensorBoardOutputConfig attribute)
- (sagemaker.train.evaluate.base_evaluator.BaseEvaluator attribute), [1]
- (sagemaker.train.evaluate.BaseEvaluator attribute), [1], [2], [3]
- (sagemaker.train.evaluate.benchmark_evaluator.BenchMarkEvaluator attribute), [1]
- (sagemaker.train.evaluate.BenchMarkEvaluator attribute), [1], [2]
- (sagemaker.train.evaluate.custom_scorer_evaluator.CustomScorerEvaluator attribute), [1]
- (sagemaker.train.evaluate.CustomScorerEvaluator attribute), [1], [2]
- (sagemaker.train.evaluate.EvaluationPipelineExecution attribute), [1]
- (sagemaker.train.evaluate.execution.BenchmarkEvaluationExecution attribute)
- (sagemaker.train.evaluate.execution.EvaluationPipelineExecution attribute)
- (sagemaker.train.evaluate.execution.LLMAJEvaluationExecution attribute)
- (sagemaker.train.evaluate.llm_as_judge_evaluator.LLMAsJudgeEvaluator attribute), [1]
- (sagemaker.train.evaluate.LLMAsJudgeEvaluator attribute), [1], [2]
- s3_output_uri (sagemaker.core.shapes.shapes.BenchmarkResultsOutputConfig attribute), [1]
- s3_path_join() (in module sagemaker.core.helper.session_helper)
- S3_PREFIX (sagemaker.core.config.config_manager.SageMakerConfig attribute)
- s3_prefix (sagemaker.core.fw_utils.UploadedCode attribute)
- s3_presign (sagemaker.core.shapes.shapes.WorkerAccessConfiguration attribute), [1]
- s3_storage_config (sagemaker.core.jumpstart.hub.interfaces.DescribeHubResponse attribute)
- s3_training_job_output (sagemaker.core.shapes.shapes.TrainingJobOutput attribute), [1]
- s3_upload_mode (sagemaker.core.shapes.shapes.MonitoringS3Output attribute), [1]
- s3_uri (sagemaker.core.jumpstart.S3DataSource attribute)
- (sagemaker.core.jumpstart.types.S3DataSource attribute)
- (sagemaker.core.modules.configs.CheckpointConfig attribute), [1]
- (sagemaker.core.modules.configs.S3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.AdditionalS3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.AutoMLS3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.CheckpointConfig attribute), [1]
- (sagemaker.core.shapes.shapes.EvaluationJobCustomDataset attribute), [1]
- (sagemaker.core.shapes.shapes.EvaluationJobOutputDataConfig attribute), [1]
- (sagemaker.core.shapes.shapes.EvaluationJobUpstreamPlatformCustomerOutputDataConfig attribute), [1]
- (sagemaker.core.shapes.shapes.FileSource attribute), [1]
- (sagemaker.core.shapes.shapes.GroundTruthJobS3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.InputConfig attribute), [1]
- (sagemaker.core.shapes.shapes.MetricsSource attribute), [1]
- (sagemaker.core.shapes.shapes.ModelSpeculativeDecodingTrainingDataSource attribute), [1]
- (sagemaker.core.shapes.shapes.MonitoringConstraintsResource attribute), [1]
- (sagemaker.core.shapes.shapes.MonitoringGroundTruthS3Input attribute), [1]
- (sagemaker.core.shapes.shapes.MonitoringS3Output attribute), [1]
- (sagemaker.core.shapes.shapes.MonitoringStatisticsResource attribute), [1]
- (sagemaker.core.shapes.shapes.OptimizationJobDraftModel attribute), [1]
- (sagemaker.core.shapes.shapes.OptimizationJobModelSourceS3 attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingS3Input attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingS3InputInternal attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingS3Output attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingUpstreamS3Output attribute), [1]
- (sagemaker.core.shapes.shapes.S3DataSource attribute), [1]
- (sagemaker.core.shapes.shapes.S3FileSystem attribute), [1]
- (sagemaker.core.shapes.shapes.S3FileSystemConfig attribute), [1]
- (sagemaker.core.shapes.shapes.S3ModelDataSource attribute), [1]
- (sagemaker.core.shapes.shapes.S3StorageConfig attribute), [1]
- (sagemaker.core.shapes.shapes.TransformS3DataSource attribute), [1]
- (sagemaker.core.training.configs.CheckpointConfig attribute)
- (sagemaker.core.training.configs.S3DataSource attribute), [1]
- (sagemaker.core.workflow.functions.JsonGet attribute), [1]
- (sagemaker.core.workflow.JsonGet attribute), [1]
- (sagemaker.mlops.feature_store.S3StorageConfig attribute), [1], [2], [3]
- s3_uri_artifacts() (sagemaker.core.lineage.Artifact method)
- S3ConfigNotFoundError
- S3DataConfig (class in sagemaker.core.common_utils), [1]
- S3DataSource (class in sagemaker.core.jumpstart)
- S3DataSourceModel (class in sagemaker.core.jumpstart.models)
- S3DataType (sagemaker.core.jumpstart.models.S3DataSourceModel attribute)
- S3DataTypeEnum (class in sagemaker.core.jumpstart.models)
- S3Downloader (class in sagemaker.core.s3)
- S3FileSystem (class in sagemaker.core.shapes.shapes)
- S3FileSystemConfig (class in sagemaker.core.shapes.shapes)
- S3JobProgress (class in sagemaker.core.shapes.shapes)
- S3ModelDataSource (class in sagemaker.core.shapes.shapes)
- S3OBJECT (sagemaker.core.jumpstart.models.HostingArtifactS3DataTypeEnum attribute)
- S3ObjectLocation (class in sagemaker.core.jumpstart.hub.types)
- S3PREFIX (sagemaker.core.jumpstart.models.HostingArtifactS3DataTypeEnum attribute)
- S3Presign (class in sagemaker.core.shapes.shapes)
- S3StorageConfig (class in sagemaker.core.shapes.shapes)
- S3Uploader (class in sagemaker.core.s3)
- S3Uri (sagemaker.core.jumpstart.models.DemoNotebookModel attribute)
- SA_EAST_1 (sagemaker.core.telemetry.constants.Region attribute)
- safe_deserialize() (in module sagemaker.core.modules.train.container_drivers.common.utils)
- safe_serialize() (in module sagemaker.core.modules.train.container_drivers.common.utils)
- sage_maker_image_arn (sagemaker.core.shapes.shapes.ResourceSpec attribute), [1]
- sage_maker_image_name (sagemaker.core.shapes.shapes.HiddenSageMakerImage attribute), [1]
- sage_maker_image_version_alias (sagemaker.core.shapes.shapes.ResourceSpec attribute), [1]
- sage_maker_image_version_arn (sagemaker.core.shapes.shapes.ResourceSpec attribute), [1]
- sage_maker_model (sagemaker.core.shapes.shapes.OptimizationJobModelSource attribute), [1]
- sage_maker_public_hub_content_arn (sagemaker.core.resources.HubContent attribute), [1], [2], [3]
- sage_maker_sdk_predictor_specifications (sagemaker.core.jumpstart.hub.interfaces.HubModelDocument attribute)
- sagemaker (sagemaker.core.tools.data_extractor.ServiceJsonData attribute)
- SAGEMAKER (sagemaker.serve.utils.types.SpeculativeDecodingDraftModelSource attribute)
- sagemaker() (sagemaker.core.debugger.debugger.ProfilerRule class method)
-
sagemaker.core
-
sagemaker.core.accept_types
-
sagemaker.core.analytics
-
sagemaker.core.apiutils
-
sagemaker.core.base_deserializers
-
sagemaker.core.base_serializers
-
sagemaker.core.clarify
-
sagemaker.core.collection
-
sagemaker.core.common_utils
-
sagemaker.core.compute_resource_requirements
-
sagemaker.core.compute_resource_requirements.resource_requirements
-
sagemaker.core.config
-
sagemaker.core.config.config
-
sagemaker.core.config.config_manager
-
sagemaker.core.config.config_schema
-
sagemaker.core.config.config_utils
-
sagemaker.core.config_schema
-
sagemaker.core.constants
-
sagemaker.core.content_types
-
sagemaker.core.debugger
-
sagemaker.core.debugger.debugger
-
sagemaker.core.debugger.framework_profile
-
sagemaker.core.debugger.metrics_config
-
sagemaker.core.debugger.profiler
-
sagemaker.core.debugger.profiler_config
-
sagemaker.core.debugger.profiler_constants
-
sagemaker.core.debugger.utils
-
sagemaker.core.deprecations
-
sagemaker.core.deserializers
-
sagemaker.core.deserializers.base
-
sagemaker.core.deserializers.implementations
-
sagemaker.core.drift_check_baselines
-
sagemaker.core.enums
-
sagemaker.core.environment_variables
-
sagemaker.core.exceptions
-
sagemaker.core.experiments
-
sagemaker.core.experiments.experiment
-
sagemaker.core.experiments.run
-
sagemaker.core.experiments.trial
-
sagemaker.core.experiments.trial_component
-
sagemaker.core.explainer
-
sagemaker.core.explainer.clarify_explainer_config
-
sagemaker.core.explainer.explainer_config
-
sagemaker.core.fw_utils
-
sagemaker.core.git_utils
-
sagemaker.core.helper
-
sagemaker.core.helper.pipeline_variable
-
sagemaker.core.helper.session_helper
-
sagemaker.core.hyperparameters
-
sagemaker.core.image_retriever
-
sagemaker.core.image_retriever.image_retriever
-
sagemaker.core.image_retriever.image_retriever_utils
-
sagemaker.core.image_uris
-
sagemaker.core.inference_config
-
sagemaker.core.inference_recommender
-
sagemaker.core.inference_recommender.inference_recommender_mixin
-
sagemaker.core.inputs
-
sagemaker.core.instance_group
-
sagemaker.core.instance_types
-
sagemaker.core.instance_types_gpu_info
-
sagemaker.core.interactive_apps
-
sagemaker.core.interactive_apps.base_interactive_app
-
sagemaker.core.interactive_apps.detail_profiler_app
-
sagemaker.core.interactive_apps.tensorboard
-
sagemaker.core.iterators
-
sagemaker.core.job
-
sagemaker.core.jumpstart
-
sagemaker.core.jumpstart.accessors
-
sagemaker.core.jumpstart.artifacts
-
sagemaker.core.jumpstart.artifacts.environment_variables
-
sagemaker.core.jumpstart.artifacts.hyperparameters
-
sagemaker.core.jumpstart.artifacts.image_uris
-
sagemaker.core.jumpstart.artifacts.incremental_training
-
sagemaker.core.jumpstart.artifacts.instance_types
-
sagemaker.core.jumpstart.artifacts.kwargs
-
sagemaker.core.jumpstart.artifacts.metric_definitions
-
sagemaker.core.jumpstart.artifacts.model_packages
-
sagemaker.core.jumpstart.artifacts.model_uris
-
sagemaker.core.jumpstart.artifacts.payloads
-
sagemaker.core.jumpstart.artifacts.predictors
-
sagemaker.core.jumpstart.artifacts.resource_names
-
sagemaker.core.jumpstart.artifacts.resource_requirements
-
sagemaker.core.jumpstart.artifacts.script_uris
-
sagemaker.core.jumpstart.cache
-
sagemaker.core.jumpstart.configs
-
sagemaker.core.jumpstart.constants
-
sagemaker.core.jumpstart.deserializers
-
sagemaker.core.jumpstart.document
-
sagemaker.core.jumpstart.enums
-
sagemaker.core.jumpstart.exceptions
-
sagemaker.core.jumpstart.factory
-
sagemaker.core.jumpstart.factory.utils
-
sagemaker.core.jumpstart.filters
-
sagemaker.core.jumpstart.hub
-
sagemaker.core.jumpstart.hub.constants
-
sagemaker.core.jumpstart.hub.hub
-
sagemaker.core.jumpstart.hub.interfaces
-
sagemaker.core.jumpstart.hub.parser_utils
-
sagemaker.core.jumpstart.hub.parsers
-
sagemaker.core.jumpstart.hub.types
-
sagemaker.core.jumpstart.hub.utils
-
sagemaker.core.jumpstart.models
-
sagemaker.core.jumpstart.notebook_utils
-
sagemaker.core.jumpstart.parameters
-
sagemaker.core.jumpstart.payload_utils
-
sagemaker.core.jumpstart.search
-
sagemaker.core.jumpstart.serializers
-
sagemaker.core.jumpstart.session_utils
-
sagemaker.core.jumpstart.types
-
sagemaker.core.jumpstart.utils
-
sagemaker.core.jumpstart.validators
-
sagemaker.core.lambda_helper
-
sagemaker.core.lineage
-
sagemaker.core.lineage.action
-
sagemaker.core.lineage.artifact
-
sagemaker.core.lineage.association
-
sagemaker.core.lineage.context
-
sagemaker.core.lineage.lineage_trial_component
-
sagemaker.core.lineage.query
-
sagemaker.core.lineage.visualizer
-
sagemaker.core.local
-
sagemaker.core.local.data
-
sagemaker.core.local.entities
-
sagemaker.core.local.exceptions
-
sagemaker.core.local.image
-
sagemaker.core.local.local_session
-
sagemaker.core.local.utils
-
sagemaker.core.logs
-
sagemaker.core.metadata_properties
-
sagemaker.core.metric_definitions
-
sagemaker.core.mlflow
-
sagemaker.core.model_card
-
sagemaker.core.model_life_cycle
-
sagemaker.core.model_metrics
-
sagemaker.core.model_monitor
-
sagemaker.core.model_monitor.clarify_model_monitoring
-
sagemaker.core.model_monitor.cron_expression_generator
-
sagemaker.core.model_monitor.data_capture_config
-
sagemaker.core.model_monitor.data_quality_monitoring_config
-
sagemaker.core.model_monitor.dataset_format
-
sagemaker.core.model_monitor.model_monitoring
-
sagemaker.core.model_monitor.monitoring_alert
-
sagemaker.core.model_monitor.monitoring_files
-
sagemaker.core.model_monitor.utils
-
sagemaker.core.model_registry
-
sagemaker.core.model_uris
-
sagemaker.core.modules
-
sagemaker.core.modules.configs
-
sagemaker.core.modules.constants
-
sagemaker.core.modules.distributed
-
sagemaker.core.modules.local_core
-
sagemaker.core.modules.local_core.local_container
-
sagemaker.core.modules.templates
-
sagemaker.core.modules.train
-
sagemaker.core.modules.train.container_drivers
-
sagemaker.core.modules.train.container_drivers.common
-
sagemaker.core.modules.train.container_drivers.common.utils
-
sagemaker.core.modules.train.container_drivers.distributed_drivers
-
sagemaker.core.modules.train.container_drivers.distributed_drivers.basic_script_driver
-
sagemaker.core.modules.train.container_drivers.distributed_drivers.mpi_driver
-
sagemaker.core.modules.train.container_drivers.distributed_drivers.mpi_utils
-
sagemaker.core.modules.train.container_drivers.distributed_drivers.torchrun_driver
-
sagemaker.core.modules.train.container_drivers.scripts
-
sagemaker.core.modules.train.container_drivers.scripts.environment
-
sagemaker.core.modules.train.sm_recipes
-
sagemaker.core.modules.train.sm_recipes.utils
-
sagemaker.core.modules.types
-
sagemaker.core.modules.utils
-
sagemaker.core.network
-
sagemaker.core.parameter
-
sagemaker.core.partner_app
-
sagemaker.core.partner_app.auth_provider
-
sagemaker.core.partner_app.auth_utils
-
sagemaker.core.payloads
-
sagemaker.core.processing
-
sagemaker.core.remote_function
-
sagemaker.core.remote_function.checkpoint_location
-
sagemaker.core.remote_function.client
-
sagemaker.core.remote_function.core
-
sagemaker.core.remote_function.core.pipeline_variables
-
sagemaker.core.remote_function.core.serialization
-
sagemaker.core.remote_function.core.stored_function
-
sagemaker.core.remote_function.custom_file_filter
-
sagemaker.core.remote_function.errors
-
sagemaker.core.remote_function.invoke_function
-
sagemaker.core.remote_function.job
-
sagemaker.core.remote_function.logging_config
-
sagemaker.core.remote_function.runtime_environment
-
sagemaker.core.remote_function.runtime_environment.bootstrap_runtime_environment
-
sagemaker.core.remote_function.runtime_environment.mpi_utils_remote
-
sagemaker.core.remote_function.runtime_environment.runtime_environment_manager
-
sagemaker.core.remote_function.spark_config
-
sagemaker.core.resource_requirements
-
sagemaker.core.resources
-
sagemaker.core.s3
-
sagemaker.core.s3.client
-
sagemaker.core.s3.utils
-
sagemaker.core.script_uris
-
sagemaker.core.serializers
-
sagemaker.core.serializers.base
-
sagemaker.core.serializers.implementations
-
sagemaker.core.serializers.utils
-
sagemaker.core.serverless_inference_config
-
sagemaker.core.session_settings
-
sagemaker.core.shapes
-
sagemaker.core.shapes.model_card_shapes
-
sagemaker.core.shapes.shapes
-
sagemaker.core.spark
-
sagemaker.core.spark.defaults
-
sagemaker.core.spark.processing
-
sagemaker.core.telemetry
-
sagemaker.core.telemetry.attribution
-
sagemaker.core.telemetry.constants
-
sagemaker.core.telemetry.resource_creation
-
sagemaker.core.telemetry.telemetry_logging
-
sagemaker.core.tools
-
sagemaker.core.tools.codegen
-
sagemaker.core.tools.constants
-
sagemaker.core.tools.data_extractor
-
sagemaker.core.tools.method
-
sagemaker.core.tools.resources_codegen
-
sagemaker.core.tools.resources_extractor
-
sagemaker.core.tools.shapes_codegen
-
sagemaker.core.tools.shapes_extractor
-
sagemaker.core.tools.templates
-
sagemaker.core.training
-
sagemaker.core.training.configs
-
sagemaker.core.training.constants
-
sagemaker.core.training.utils
-
sagemaker.core.training_compiler
-
sagemaker.core.training_compiler.config
-
sagemaker.core.training_compiler_config
-
sagemaker.core.transformer
-
sagemaker.core.user_agent
-
sagemaker.core.utilities
-
sagemaker.core.utilities.cache
-
sagemaker.core.utilities.search_expression
-
sagemaker.core.utils
-
sagemaker.core.utils.code_injection
-
sagemaker.core.utils.code_injection.base
-
sagemaker.core.utils.code_injection.codec
-
sagemaker.core.utils.code_injection.constants
-
sagemaker.core.utils.code_injection.shape_dag
-
sagemaker.core.utils.exceptions
-
sagemaker.core.utils.intelligent_defaults_helper
-
sagemaker.core.utils.logs
-
sagemaker.core.utils.user_agent
-
sagemaker.core.utils.utils
-
sagemaker.core.workflow
-
sagemaker.core.workflow.conditions
-
sagemaker.core.workflow.entities
-
sagemaker.core.workflow.execution_variables
-
sagemaker.core.workflow.functions
-
sagemaker.core.workflow.parameters
-
sagemaker.core.workflow.pipeline_context
-
sagemaker.core.workflow.pipeline_definition_config
-
sagemaker.core.workflow.properties
-
sagemaker.core.workflow.step_outputs
-
sagemaker.core.workflow.utilities
-
sagemaker.mlops
-
sagemaker.mlops.feature_store
-
sagemaker.mlops.feature_store.athena_query
-
sagemaker.mlops.feature_store.dataset_builder
-
sagemaker.mlops.feature_store.feature_definition
-
sagemaker.mlops.feature_store.feature_utils
-
sagemaker.mlops.feature_store.ingestion_manager_pandas
-
sagemaker.mlops.feature_store.inputs
-
sagemaker.mlops.local
-
sagemaker.mlops.local.exceptions
-
sagemaker.mlops.local.local_pipeline_session
-
sagemaker.mlops.local.pipeline
-
sagemaker.mlops.local.pipeline_entities
-
sagemaker.mlops.workflow
-
sagemaker.mlops.workflow.automl_step
-
sagemaker.mlops.workflow.callback_step
-
sagemaker.mlops.workflow.check_job_config
-
sagemaker.mlops.workflow.clarify_check_step
-
sagemaker.mlops.workflow.condition_step
-
sagemaker.mlops.workflow.emr_serverless_step
-
sagemaker.mlops.workflow.emr_step
-
sagemaker.mlops.workflow.fail_step
-
sagemaker.mlops.workflow.function_step
-
sagemaker.mlops.workflow.lambda_step
-
sagemaker.mlops.workflow.model_step
-
sagemaker.mlops.workflow.monitor_batch_transform_step
-
sagemaker.mlops.workflow.notebook_job_step
-
sagemaker.mlops.workflow.parallelism_config
-
sagemaker.mlops.workflow.pipeline
-
sagemaker.mlops.workflow.pipeline_experiment_config
-
sagemaker.mlops.workflow.quality_check_step
-
sagemaker.mlops.workflow.retry
-
sagemaker.mlops.workflow.selective_execution_config
-
sagemaker.mlops.workflow.step_collections
-
sagemaker.mlops.workflow.steps
-
sagemaker.mlops.workflow.triggers
-
sagemaker.serve
-
sagemaker.serve.async_inference
-
sagemaker.serve.async_inference.async_inference_config
-
sagemaker.serve.async_inference.async_inference_response
-
sagemaker.serve.async_inference.waiter_config
-
sagemaker.serve.batch_inference
-
sagemaker.serve.batch_inference.batch_transform_inference_config
-
sagemaker.serve.bedrock_model_builder
-
sagemaker.serve.builder
-
sagemaker.serve.builder.requirements_manager
-
sagemaker.serve.builder.schema_builder
-
sagemaker.serve.builder.serve_settings
-
sagemaker.serve.builder.triton_schema_builder
-
sagemaker.serve.compute_resource_requirements
-
sagemaker.serve.compute_resource_requirements.resource_requirements
-
sagemaker.serve.configs
-
sagemaker.serve.constants
-
sagemaker.serve.deployment_progress
-
sagemaker.serve.detector
-
sagemaker.serve.detector.dependency_manager
-
sagemaker.serve.detector.image_detector
-
sagemaker.serve.detector.pickle_dependencies
-
sagemaker.serve.detector.pickler
-
sagemaker.serve.inference_recommendation_mixin
-
sagemaker.serve.local_resources
-
sagemaker.serve.marshalling
-
sagemaker.serve.marshalling.custom_payload_translator
-
sagemaker.serve.marshalling.triton_translator
-
sagemaker.serve.mode
-
sagemaker.serve.mode.function_pointers
-
sagemaker.serve.mode.in_process_mode
-
sagemaker.serve.mode.local_container_mode
-
sagemaker.serve.mode.sagemaker_endpoint_mode
-
sagemaker.serve.model_builder
-
sagemaker.serve.model_builder_servers
-
sagemaker.serve.model_builder_utils
-
sagemaker.serve.model_format
-
sagemaker.serve.model_format.mlflow
-
sagemaker.serve.model_format.mlflow.constants
-
sagemaker.serve.model_format.mlflow.utils
-
sagemaker.serve.model_server
-
sagemaker.serve.model_server.djl_serving
-
sagemaker.serve.model_server.djl_serving.prepare
-
sagemaker.serve.model_server.djl_serving.server
-
sagemaker.serve.model_server.djl_serving.utils
-
sagemaker.serve.model_server.in_process_model_server
-
sagemaker.serve.model_server.in_process_model_server.in_process_server
-
sagemaker.serve.model_server.multi_model_server
-
sagemaker.serve.model_server.multi_model_server.prepare
-
sagemaker.serve.model_server.multi_model_server.server
-
sagemaker.serve.model_server.tei
-
sagemaker.serve.model_server.tei.server
-
sagemaker.serve.model_server.tensorflow_serving
-
sagemaker.serve.model_server.tensorflow_serving.prepare
-
sagemaker.serve.model_server.tensorflow_serving.server
-
sagemaker.serve.model_server.tgi
-
sagemaker.serve.model_server.tgi.prepare
-
sagemaker.serve.model_server.tgi.server
-
sagemaker.serve.model_server.tgi.utils
-
sagemaker.serve.model_server.torchserve
-
sagemaker.serve.model_server.torchserve.prepare
-
sagemaker.serve.model_server.torchserve.server
-
sagemaker.serve.model_server.triton
-
sagemaker.serve.model_server.triton.config_template
-
sagemaker.serve.model_server.triton.server
-
sagemaker.serve.predictor_async
-
sagemaker.serve.serverless
-
sagemaker.serve.serverless.model
-
sagemaker.serve.serverless.serverless_inference_config
-
sagemaker.serve.spec
-
sagemaker.serve.spec.inference_base
-
sagemaker.serve.spec.inference_spec
-
sagemaker.serve.utils
-
sagemaker.serve.utils.exceptions
-
sagemaker.serve.utils.hardware_detector
-
sagemaker.serve.utils.hf_utils
-
sagemaker.serve.utils.lineage_constants
-
sagemaker.serve.utils.lineage_utils
-
sagemaker.serve.utils.local_hardware
-
sagemaker.serve.utils.logging_agent
-
sagemaker.serve.utils.packaging
-
sagemaker.serve.utils.task
-
sagemaker.serve.utils.telemetry_logger
-
sagemaker.serve.utils.types
-
sagemaker.serve.utils.uploader
-
sagemaker.serve.validations
-
sagemaker.serve.validations.check_image_and_hardware_type
-
sagemaker.serve.validations.check_image_uri
-
sagemaker.serve.validations.check_integrity
-
sagemaker.serve.validations.optimization
-
sagemaker.train
-
sagemaker.train.aws_batch
-
sagemaker.train.aws_batch.batch_api_helper
-
sagemaker.train.aws_batch.boto_client
-
sagemaker.train.aws_batch.constants
-
sagemaker.train.aws_batch.exception
-
sagemaker.train.aws_batch.training_queue
-
sagemaker.train.aws_batch.training_queued_job
-
sagemaker.train.base_trainer
-
sagemaker.train.common
-
sagemaker.train.configs
-
sagemaker.train.constants
-
sagemaker.train.container_drivers
-
sagemaker.train.container_drivers.common
-
sagemaker.train.container_drivers.common.utils
-
sagemaker.train.container_drivers.distributed_drivers
-
sagemaker.train.container_drivers.distributed_drivers.basic_script_driver
-
sagemaker.train.container_drivers.distributed_drivers.mpi_driver
-
sagemaker.train.container_drivers.distributed_drivers.mpi_utils
-
sagemaker.train.container_drivers.distributed_drivers.torchrun_driver
-
sagemaker.train.container_drivers.scripts
-
sagemaker.train.container_drivers.scripts.environment
-
sagemaker.train.defaults
-
sagemaker.train.distributed
-
sagemaker.train.evaluate
-
sagemaker.train.evaluate.base_evaluator
-
sagemaker.train.evaluate.benchmark_evaluator
-
sagemaker.train.evaluate.constants
-
sagemaker.train.evaluate.custom_scorer_evaluator
-
sagemaker.train.evaluate.execution
-
sagemaker.train.evaluate.llm_as_judge_evaluator
-
sagemaker.train.evaluate.pipeline_templates
-
sagemaker.train.local
-
sagemaker.train.local.data
-
sagemaker.train.local.entities
-
sagemaker.train.local.local_container
-
sagemaker.train.model_trainer
-
sagemaker.train.remote_function
-
sagemaker.train.remote_function.checkpoint_location
-
sagemaker.train.remote_function.client
-
sagemaker.train.remote_function.core
-
sagemaker.train.remote_function.core.pipeline_variables
-
sagemaker.train.remote_function.core.serialization
-
sagemaker.train.remote_function.core.stored_function
-
sagemaker.train.remote_function.custom_file_filter
-
sagemaker.train.remote_function.errors
-
sagemaker.train.remote_function.invoke_function
-
sagemaker.train.remote_function.job
-
sagemaker.train.remote_function.logging_config
-
sagemaker.train.remote_function.runtime_environment
-
sagemaker.train.remote_function.runtime_environment.bootstrap_runtime_environment
-
sagemaker.train.remote_function.runtime_environment.mpi_utils_remote
-
sagemaker.train.remote_function.runtime_environment.runtime_environment_manager
-
sagemaker.train.remote_function.spark_config
-
sagemaker.train.sm_recipes
-
sagemaker.train.sm_recipes.utils
-
sagemaker.train.templates
-
sagemaker.train.tuner
-
sagemaker.train.types
|
-
sagemaker.train.utils
- SAGEMAKER_AGENT_PLUGIN (sagemaker.core.telemetry.attribution.Attribution attribute)
- sagemaker_capture_json() (sagemaker.core.model_monitor.dataset_format.DatasetFormat static method)
- SAGEMAKER_ENDPOINT (sagemaker.serve.mode.function_pointers.Mode attribute)
- SAGEMAKER_EVALUATE (sagemaker.core.jumpstart.models.CapabilityEnum attribute)
- sagemaker_feature_store (sagemaker.core.tools.data_extractor.ServiceJsonData attribute)
- sagemaker_metrics (sagemaker.core.tools.data_extractor.ServiceJsonData attribute)
- SAGEMAKER_MODEL_OPTIMIZE (sagemaker.core.jumpstart.models.CapabilityEnum attribute)
- SAGEMAKER_OUTPUT_LOCATION (in module sagemaker.core.constants)
- SAGEMAKER_REGION_PARAM_NAME (in module sagemaker.core.constants)
- sagemaker_runtime (sagemaker.core.tools.data_extractor.ServiceJsonData attribute)
- sagemaker_session (sagemaker.core.jumpstart.JumpStartEstimatorDeployKwargs attribute)
- (sagemaker.core.jumpstart.JumpStartEstimatorFitKwargs attribute)
- (sagemaker.core.jumpstart.JumpStartEstimatorInitKwargs attribute)
- (sagemaker.core.jumpstart.JumpStartModelDeployKwargs attribute)
- (sagemaker.core.jumpstart.JumpStartModelInitKwargs attribute)
- (sagemaker.core.jumpstart.JumpStartModelRegisterKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartEstimatorDeployKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartEstimatorFitKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartEstimatorInitKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartModelDeployKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartModelInitKwargs attribute)
- (sagemaker.core.jumpstart.types.JumpStartModelRegisterKwargs attribute)
- (sagemaker.mlops.feature_store.athena_query.AthenaQuery attribute), [1]
- (sagemaker.mlops.feature_store.AthenaQuery attribute), [1], [2], [3]
- (sagemaker.mlops.ModelBuilder attribute), [1]
- (sagemaker.serve.model_builder.ModelBuilder attribute)
- (sagemaker.serve.ModelBuilder attribute), [1]
- (sagemaker.train.base_trainer.BaseTrainer attribute)
- (sagemaker.train.evaluate.base_evaluator.BaseEvaluator attribute), [1]
- (sagemaker.train.evaluate.BaseEvaluator attribute), [1], [2], [3]
- (sagemaker.train.evaluate.benchmark_evaluator.BenchMarkEvaluator attribute), [1]
- (sagemaker.train.evaluate.BenchMarkEvaluator attribute), [1], [2]
- (sagemaker.train.evaluate.custom_scorer_evaluator.CustomScorerEvaluator attribute), [1]
- (sagemaker.train.evaluate.CustomScorerEvaluator attribute), [1], [2]
- (sagemaker.train.evaluate.llm_as_judge_evaluator.LLMAsJudgeEvaluator attribute), [1]
- (sagemaker.train.evaluate.LLMAsJudgeEvaluator attribute), [1], [2]
- (sagemaker.train.model_trainer.ModelTrainer attribute)
- (sagemaker.train.tuner.HyperparameterTuner property)
- sagemaker_short_timestamp() (in module sagemaker.core.common_utils), [1]
- sagemaker_timestamp() (in module sagemaker.core.common_utils), [1]
- SAGEMAKER_TRAINING_JOB (sagemaker.train.model_trainer.Mode attribute)
- SageMakerClarifyProcessor (class in sagemaker.core.clarify)
- SageMakerClient (class in sagemaker.core.utils.utils)
- SageMakerConfig (class in sagemaker.core.config.config_manager)
- SageMakerCoreError
- SageMakerDjlServing (class in sagemaker.serve.model_server.djl_serving.server)
- SageMakerEndpointMode (class in sagemaker.serve.mode.sagemaker_endpoint_mode)
- SageMakerJobExceptionTypeEnum (class in sagemaker.mlops.workflow), [1]
- SageMakerJobStepRetryPolicy (class in sagemaker.mlops.workflow), [1]
- SageMakerMultiModelServer (class in sagemaker.serve.model_server.multi_model_server.server)
- SageMakerSdkPredictorSpecifications (sagemaker.core.jumpstart.models.HostingComponentsModel attribute)
- SageMakerSdkPredictorSpecificationsModel (class in sagemaker.core.jumpstart.models)
- SagemakerServicecatalogPortfolio (class in sagemaker.core.resources), [1]
- SageMakerSettings (class in sagemaker.core.jumpstart)
- SageMakerTeiServing (class in sagemaker.serve.model_server.tei.server)
- SageMakerTensorflowServing (class in sagemaker.serve.model_server.tensorflow_serving.server)
- SageMakerTgiServing (class in sagemaker.serve.model_server.tgi.server)
- SageMakerTorchServe (class in sagemaker.serve.model_server.torchserve.server)
- SageMakerTritonServer (class in sagemaker.serve.model_server.triton.server)
- sample_payload_content_type (sagemaker.core.resources.ModelPackage attribute), [1], [2], [3]
- sample_payload_url (sagemaker.core.jumpstart.JumpStartModelRegisterKwargs attribute)
- sample_weight_attribute_name (sagemaker.core.shapes.shapes.AutoMLChannel attribute), [1]
- sampling_device_count (sagemaker.core.shapes.shapes.EdgeModelStat attribute), [1]
- sampling_percentage (sagemaker.core.shapes.shapes.ShadowModelVariantConfig attribute), [1]
- sampling_seed (sagemaker.core.shapes.shapes.PayloadSampling attribute), [1]
- sampling_type (sagemaker.core.shapes.shapes.PayloadSampling attribute), [1]
- sanitize() (in module sagemaker.core.network)
- sanitize_user_agent_string_component() (in module sagemaker.core.utils.user_agent)
- save() (sagemaker.core.experiments.experiment.Experiment method)
- save_pipeline_step_function() (sagemaker.core.remote_function.core.stored_function.StoredFunction method)
- save_pkl() (in module sagemaker.serve.detector.pickler)
- save_sklearn() (in module sagemaker.serve.detector.pickler)
- save_xgboost() (in module sagemaker.serve.detector.pickler)
- savitur_app_image_config (sagemaker.core.resources.AppImageConfig attribute), [1], [2], [3]
- savitur_app_settings (sagemaker.core.shapes.shapes.SpaceSettings attribute), [1]
- SaviturAppImageConfig (class in sagemaker.core.shapes.shapes)
- SaviturAppSettings (class in sagemaker.core.shapes.shapes)
- scale_in_cooldown (sagemaker.core.shapes.shapes.DynamicScalingConfiguration attribute), [1]
- scale_out_cooldown (sagemaker.core.shapes.shapes.DynamicScalingConfiguration attribute), [1]
- scaling_config (sagemaker.core.shapes.shapes.ClusterInstanceGroupDetails attribute), [1]
- scaling_policies (sagemaker.core.shapes.shapes.DynamicScalingConfiguration attribute), [1]
- scaling_type (sagemaker.core.shapes.shapes.ContinuousParameter attribute), [1]
- ScalingConfig (class in sagemaker.core.shapes.shapes)
- ScalingPolicy (class in sagemaker.core.shapes.shapes)
- ScalingPolicyMetric (class in sagemaker.core.shapes.shapes)
- ScalingPolicyObjective (class in sagemaker.core.shapes.shapes)
- schedule (sagemaker.core.resources.InferenceExperiment attribute), [1], [2], [3]
- schedule_config (sagemaker.core.shapes.shapes.MonitoringScheduleConfig attribute), [1]
- schedule_expression (sagemaker.core.shapes.shapes.ScheduleConfig attribute), [1]
- ScheduleConfig (class in sagemaker.core.shapes.shapes)
- scheduled_time (sagemaker.core.resources.MonitoringExecution attribute), [1], [2], [3]
- scheduled_update_config (sagemaker.core.shapes.shapes.ClusterInstanceGroupDetails attribute), [1]
- ScheduledUpdateConfig (class in sagemaker.core.shapes.shapes)
- scheduler_config (sagemaker.core.resources.ClusterSchedulerConfig attribute), [1], [2], [3]
- SchedulerConfig (class in sagemaker.core.shapes.shapes)
- schema (sagemaker.core.shapes.shapes.AutoMLSnowflakeDatasetDefinition attribute)
- schema_builder (sagemaker.mlops.ModelBuilder attribute), [1]
- SCHEMA_VERSION (sagemaker.core.jumpstart.hub.interfaces.HubModelDocument attribute)
- SchemaBuilder (class in sagemaker.serve.builder.schema_builder)
- scope (sagemaker.core.jumpstart.JumpStartEnvironmentVariable attribute)
- Scope (sagemaker.core.jumpstart.models.HyperparameterUpperModel attribute)
- scope (sagemaker.core.jumpstart.types.JumpStartEnvironmentVariable attribute)
- ScopeEnum (class in sagemaker.core.jumpstart.models)
- SCRIPT (sagemaker.core.jumpstart.models.DependencyTypeEnum attribute)
- script_name (sagemaker.core.fw_utils.UploadedCode attribute)
- SCRIPT_PARAM_NAME (in module sagemaker.core.constants)
- ScriptProcessor (class in sagemaker.core.processing), [1]
- scripts (sagemaker.core.jumpstart.JumpStartAdditionalDataSources attribute)
- SDK_DEFAULTS (sagemaker.core.telemetry.constants.Feature attribute)
- sdk_url (sagemaker.core.resources.PartnerApp attribute), [1], [2], [3]
- search_keywords (sagemaker.core.jumpstart.JumpStartModelHeader attribute)
- search_public_hub_models() (in module sagemaker.core.jumpstart.search)
- SearchExpression (class in sagemaker.core.shapes.shapes)
- SearchObject (class in sagemaker.core.utilities.search_expression)
- SearchOperatorEnum (class in sagemaker.mlops.feature_store), [1]
- SearchRecord (class in sagemaker.core.shapes.shapes)
- secondary_status (sagemaker.core.resources.TrainingJob attribute), [1], [2], [3]
- secondary_status_transitions (sagemaker.core.resources.TrainingJob attribute), [1], [2], [3]
- secondary_training_status_changed() (in module sagemaker.core.common_utils), [1]
- secondary_training_status_message() (in module sagemaker.core.common_utils), [1]
- SecondaryStatusTransition (class in sagemaker.core.shapes.shapes)
- secret_arn (sagemaker.core.shapes.shapes.AutoMLSnowflakeDatasetDefinition attribute), [1]
- security_config (sagemaker.core.resources.AutoMLJobV2 attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelCard attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelPackage attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.AutoMLJobConfig attribute), [1]
- (sagemaker.core.shapes.shapes.ModelCard attribute), [1]
- (sagemaker.core.shapes.shapes.ModelDashboardModelCard attribute), [1]
- (sagemaker.core.shapes.shapes.ModelPackage attribute), [1]
- (sagemaker.core.shapes.shapes.OnlineStoreConfig attribute), [1]
- (sagemaker.core.shapes.shapes.OnlineStoreReplicaConfig attribute), [1]
- (sagemaker.mlops.feature_store.OnlineStoreConfig attribute), [1], [2], [3]
- security_group_id_for_domain_boundary (sagemaker.core.resources.Domain attribute), [1], [2], [3]
- security_group_ids (sagemaker.core.jumpstart.JumpStartEstimatorInitKwargs attribute)
- security_groups (sagemaker.core.resources.NotebookInstance attribute), [1], [2], [3]
- seed (sagemaker.core.modules.configs.ShuffleConfig attribute), [1]
- SegmentationConfig (class in sagemaker.core.clarify)
- selected_steps (sagemaker.core.shapes.shapes.SelectiveExecutionConfig attribute), [1]
- SelectedStep (class in sagemaker.core.shapes.shapes)
- selective_execution_config (sagemaker.core.resources.PipelineExecution attribute), [1], [2], [3]
- selective_execution_result (sagemaker.core.shapes.shapes.PipelineExecutionStep attribute), [1]
- SelectiveExecutionConfig (class in sagemaker.core.shapes.shapes)
- SelectiveExecutionResult (class in sagemaker.core.shapes.shapes)
- seller_name (sagemaker.core.shapes.shapes.SubscribedWorkteam attribute), [1]
- send_execution_step_failure() (sagemaker.core.resources.PipelineExecution method), [1]
- send_execution_step_success() (sagemaker.core.resources.PipelineExecution method), [1]
- SERIALIZABLE_CONFIG_ATTRIBUTES (sagemaker.train.model_trainer.ModelTrainer attribute)
- SERIALIZATION_EXCLUSION_SET (sagemaker.core.jumpstart.AdditionalModelDataSource attribute)
- SerializationError
- serialize() (in module sagemaker.core.utils.code_injection.codec)
- serialize_exception_to_s3() (in module sagemaker.core.remote_function.core.serialization)
- serialize_func_to_s3() (in module sagemaker.core.remote_function.core.serialization)
- serialize_obj_to_s3() (in module sagemaker.core.remote_function.core.serialization)
- serialize_output_to_json (sagemaker.core.remote_function.core.pipeline_variables.Context attribute)
- serialize_payload_to_bytes() (sagemaker.serve.marshalling.custom_payload_translator.CustomPayloadTranslator method)
- serializer (sagemaker.core.jumpstart.JumpStartEstimatorDeployKwargs attribute)
- SerializerType (class in sagemaker.core.jumpstart)
- serverless_config (sagemaker.core.shapes.shapes.EndpointInputConfiguration attribute), [1]
- serverless_inference_config (sagemaker.core.jumpstart.JumpStartEstimatorDeployKwargs attribute)
- serverless_job_config (sagemaker.core.resources.TrainingJob attribute), [1], [2], [3]
- serverless_update_config (sagemaker.core.shapes.shapes.DesiredWeightAndCapacity attribute), [1]
- ServerlessInferenceConfig (class in sagemaker.core.inference_config)
- ServerlessJobConfig (class in sagemaker.core.shapes.shapes)
- Service (class in sagemaker.core.shapes.shapes)
- service (sagemaker.core.tools.resources_codegen.ResourcesCodeGen attribute)
- service_catalog_provisioned_product_details (sagemaker.core.resources.Project attribute), [1], [2], [3]
- service_catalog_provisioning_details (sagemaker.core.resources.Project attribute), [1], [2], [3]
- SERVICE_FAULT (sagemaker.mlops.workflow.retry.StepExceptionTypeEnum attribute)
- service_id (sagemaker.core.tools.resources_codegen.ResourcesCodeGen attribute)
- service_json (sagemaker.core.tools.resources_codegen.ResourcesCodeGen attribute)
- service_name (sagemaker.core.tools.method.Method attribute)
- ServiceCatalogProvisionedProductDetails (class in sagemaker.core.shapes.shapes)
- ServiceCatalogProvisioningDetails (class in sagemaker.core.shapes.shapes)
- ServiceCatalogProvisioningUpdateDetails (class in sagemaker.core.shapes.shapes)
- ServiceError
- ServiceJsonData (class in sagemaker.core.tools.data_extractor)
- services (sagemaker.core.shapes.shapes.LocalAppLaunchConfiguration attribute), [1]
- ServiceUnavailable (class in sagemaker.core.shapes.shapes)
- Session (class in sagemaker.core.helper.session_helper)
- session_expiration_duration_in_seconds (sagemaker.core.resources.PartnerAppPresignedUrl attribute), [1], [2], [3]
- (sagemaker.core.resources.PresignedDomainUrl attribute), [1], [2], [3]
- (sagemaker.core.resources.PresignedDomainUrlWithPrincipalTag attribute), [1], [2], [3]
- (sagemaker.core.resources.PresignedMlflowAppUrl attribute), [1], [2], [3]
- (sagemaker.core.resources.PresignedMlflowTrackingServerUrl attribute), [1], [2], [3]
- (sagemaker.core.resources.PresignedNotebookInstanceUrl attribute), [1], [2], [3]
- SessionChainingConfig (class in sagemaker.core.modules.configs)
- SessionSettings (class in sagemaker.core.session_settings), [1]
- set (sagemaker.core.shapes.shapes.MetricDatum attribute), [1]
- SET (sagemaker.mlops.feature_store.CollectionTypeEnum attribute), [1]
- set_attribution() (in module sagemaker.core.telemetry.attribution)
- set_bucket() (sagemaker.core.jumpstart.S3DataSource method)
- set_cache_kwargs() (sagemaker.core.jumpstart.accessors.JumpStartModelsAccessor static method)
- set_config() (sagemaker.core.jumpstart.JumpStartModelSpecs method)
- set_deployment_config() (sagemaker.mlops.ModelBuilder method), [1]
- set_env() (in module sagemaker.core.modules.train.container_drivers.scripts.environment)
- set_hub_content_type() (sagemaker.core.jumpstart.JumpStartMetadataBaseFields method)
- set_jumpstart_content_bucket() (sagemaker.core.jumpstart.accessors.JumpStartModelsAccessor static method)
- set_jumpstart_gated_content_bucket() (sagemaker.core.jumpstart.accessors.JumpStartModelsAccessor static method)
- set_key() (sagemaker.core.jumpstart.filters.ModelFilter method)
- set_manifest_file_s3_key() (sagemaker.core.jumpstart.cache.JumpStartModelsCache method)
- set_monitoring() (sagemaker.core.model_monitor.monitoring_files.Constraints method)
- set_nested_value() (in module sagemaker.core.common_utils), [1]
- set_region() (sagemaker.core.jumpstart.cache.JumpStartModelsCache method)
- set_s3_bucket_name() (sagemaker.core.jumpstart.cache.JumpStartModelsCache method)
- set_sagemaker_version() (sagemaker.core.jumpstart.accessors.SageMakerSettings static method)
- set_tag() (sagemaker.core.lineage.Action method)
- set_tags() (sagemaker.core.lineage.Action method)
- set_value() (sagemaker.core.jumpstart.filters.ModelFilter method)
- SetCollectionType (class in sagemaker.mlops.feature_store), [1]
- setup_env() (in module sagemaker.core.modules.train.container_drivers.distributed_drivers.torchrun_driver)
- SFT (sagemaker.train.common.CustomizationTechnique attribute)
- shadow_mode_config (sagemaker.core.resources.InferenceExperiment attribute), [1], [2], [3]
- shadow_model_variant_name (sagemaker.core.shapes.shapes.ShadowModelVariantConfig attribute), [1]
- shadow_model_variants (sagemaker.core.shapes.shapes.ShadowModeConfig attribute), [1]
- shadow_production_variants (sagemaker.core.resources.Endpoint attribute), [1], [2], [3]
- ShadowModeConfig (class in sagemaker.core.shapes.shapes)
- ShadowModelVariantConfig (class in sagemaker.core.shapes.shapes)
- shap_baseline (sagemaker.core.shapes.shapes.ClarifyShapBaselineConfig attribute), [1]
- shap_baseline_config (sagemaker.core.shapes.shapes.ClarifyShapConfig attribute), [1]
- shap_baseline_uri (sagemaker.core.shapes.shapes.ClarifyShapBaselineConfig attribute), [1]
- shap_config (sagemaker.core.shapes.shapes.ClarifyExplainerConfig attribute), [1]
- SHAPConfig (class in sagemaker.core.clarify)
- shape_dag (sagemaker.core.tools.shapes_codegen.ShapesCodeGen attribute)
- shapes (sagemaker.core.tools.resources_codegen.ResourcesCodeGen attribute)
- shapes_extractor (sagemaker.core.tools.resources_codegen.ResourcesCodeGen attribute)
- ShapesCodeGen (class in sagemaker.core.tools.shapes_codegen)
- ShapesExtractor (class in sagemaker.core.tools.shapes_extractor)
- shared_libs (sagemaker.mlops.ModelBuilder attribute), [1]
- shared_model_id (sagemaker.core.resources.SharedModel attribute), [1], [2], [3]
- shared_model_version (sagemaker.core.resources.SharedModel attribute), [1], [2], [3]
- SharedModel (class in sagemaker.core.resources), [1]
- SharedModelListEntity (class in sagemaker.core.shapes.shapes)
- SharedModelReviewers (class in sagemaker.core.resources), [1]
- SharedModelVersionListEntity (class in sagemaker.core.shapes.shapes)
- shares (sagemaker.core.shapes.shapes.SharedModelListEntity attribute), [1]
- sharing_settings (sagemaker.core.shapes.shapes.UserSettings attribute), [1]
- sharing_type (sagemaker.core.shapes.shapes.SpaceSharingSettings attribute), [1]
- SharingSettings (class in sagemaker.core.shapes.shapes)
- show() (sagemaker.core.lineage.LineageTableVisualizer method)
- show_results() (sagemaker.train.evaluate.execution.BenchmarkEvaluationExecution method)
- shuffle_config (sagemaker.core.modules.configs.Channel attribute), [1]
- ShuffleConfig (class in sagemaker.core.inputs)
- shutdown() (sagemaker.core.remote_function.client.RemoteExecutor method)
- SimpleBaseDeserializer (class in sagemaker.core.deserializers.base)
- SimpleBaseSerializer (class in sagemaker.core.serializers.base)
- SimpleMetric (class in sagemaker.core.shapes.model_card_shapes)
- single_sign_on_application_arn (sagemaker.core.resources.Domain attribute), [1], [2], [3]
- single_sign_on_managed_application_instance_id (sagemaker.core.resources.Domain attribute), [1], [2], [3]
- single_sign_on_user_identifier (sagemaker.core.resources.UserProfile attribute), [1], [2], [3]
- single_sign_on_user_value (sagemaker.core.resources.UserProfile attribute), [1], [2], [3]
- SingleRecordStrategy (class in sagemaker.core.local.data)
- SingletonMeta (class in sagemaker.core.utils.utils)
- size_in_gb (sagemaker.core.shapes.shapes.PersistentVolumeConfiguration attribute), [1]
- size_in_gi_b (sagemaker.core.shapes.shapes.FSxLustreConfig attribute), [1]
- skip (sagemaker.core.logs.Position attribute)
- skip_check (sagemaker.core.shapes.shapes.ClarifyCheckStepMetadata attribute), [1]
- skip_model_validation (sagemaker.core.jumpstart.JumpStartModelRegisterKwargs attribute)
- skip_revoke_token_after_complete (sagemaker.core.shapes.shapes.IdentityCenterUserToken attribute), [1]
- SkipTuningComboException
- SKLEARN (sagemaker.core.jumpstart.enums.ModelFramework attribute)
- slots (sagemaker.core.jumpstart.JumpStartConfigComponent attribute)
- slr_access_entry (sagemaker.core.shapes.shapes.ClusterMetadata attribute), [1]
- sm_activation_offloading (sagemaker.core.modules.distributed.SMP attribute)
- SMD (sagemaker.serve.constants.Framework attribute)
- SMDataParallelProfilingConfig (class in sagemaker.core.debugger.metrics_config)
- SMP (class in sagemaker.core.modules.distributed)
- smp (sagemaker.core.modules.distributed.Torchrun attribute)
- SNAKE_CASE (sagemaker.core.jumpstart.enums.NamingConventionType attribute)
- snake_to_pascal() (in module sagemaker.core.utils.code_injection.codec)
- snake_to_upper_camel() (in module sagemaker.core.jumpstart.hub.parser_utils)
- snapshot() (sagemaker.core.remote_function.runtime_environment.runtime_environment_manager.RuntimeEnvironmentManager method)
- snapshot_time (sagemaker.core.shapes.shapes.UpgradeRollbackVersionDetails attribute), [1]
- snowflake_dataset_definition (sagemaker.core.shapes.shapes.DatasetDefinition attribute), [1]
- snowflake_role (sagemaker.core.shapes.shapes.AutoMLSnowflakeDatasetDefinition attribute), [1]
- SnowflakeDatasetDefinition (class in sagemaker.core.shapes.shapes)
- SnowflakeQueryVariable (class in sagemaker.core.shapes.shapes)
- sns_data_source (sagemaker.core.shapes.shapes.LabelingJobDataSource attribute), [1]
- sns_topic_arn (sagemaker.core.shapes.shapes.LabelingJobOutputConfig attribute), [1]
- soci_image (sagemaker.core.resources.ImageVersion attribute), [1], [2], [3]
- SOFT_DELETE (sagemaker.mlops.feature_store.DeletionModeEnum attribute), [1]
- software_update_status (sagemaker.core.shapes.shapes.ClusterInstanceGroupDetails attribute), [1]
- some() (in module sagemaker.core.logs)
- SortByType (class in sagemaker.core.experiments.run)
- SortOrderEnum (class in sagemaker.mlops.feature_store), [1]
- SortOrderType (class in sagemaker.core.experiments.run)
- source (sagemaker.core.lineage.Action attribute), [1]
- (sagemaker.core.lineage.action.Action attribute), [1]
- (sagemaker.core.lineage.Artifact attribute), [1]
- (sagemaker.core.lineage.artifact.Artifact attribute), [1]
- (sagemaker.core.lineage.Context attribute)
- (sagemaker.core.lineage.context.Context attribute)
- (sagemaker.core.lineage.lineage_trial_component.LineageTrialComponent attribute), [1]
- (sagemaker.core.lineage.LineageTrialComponent attribute), [1]
- (sagemaker.core.resources.Action attribute), [1], [2], [3]
- (sagemaker.core.resources.ActionInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.Artifact attribute), [1], [2], [3]
- (sagemaker.core.resources.ArtifactInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.Context attribute), [1], [2], [3]
- (sagemaker.core.resources.ContextInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.Experiment attribute), [1], [2], [3]
- (sagemaker.core.resources.ExperimentInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.Trial attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponent attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponentInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialInternal attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.ActionSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ArtifactSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ContextSummary attribute), [1]
- (sagemaker.core.shapes.shapes.Experiment attribute), [1]
- (sagemaker.core.shapes.shapes.Trial attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponent attribute), [1]
- source_account (sagemaker.core.resources.CrossAccountTrainingJob attribute), [1], [2], [3]
- source_algorithm_specification (sagemaker.core.resources.ModelPackage attribute), [1], [2], [3]
- source_algorithms (sagemaker.core.shapes.shapes.SourceAlgorithmSpecification attribute), [1]
- source_arn (sagemaker.core.lineage.Association attribute), [1]
- (sagemaker.core.lineage.association.Association attribute), [1]
- (sagemaker.core.resources.Association attribute), [1], [2], [3]
- (sagemaker.core.resources.CrossAccountTrainingJob attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.AssociationInfo attribute), [1]
- (sagemaker.core.shapes.shapes.AssociationSummary attribute), [1]
- (sagemaker.core.shapes.shapes.Edge attribute), [1]
- (sagemaker.core.shapes.shapes.ExperimentSource attribute), [1]
- (sagemaker.core.shapes.shapes.InputExperimentSource attribute), [1]
- (sagemaker.core.shapes.shapes.InputTrialComponentSource attribute), [1]
- (sagemaker.core.shapes.shapes.InputTrialSource attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponentMetricSummary attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponentSource attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponentSourceDetail attribute), [1]
- (sagemaker.core.shapes.shapes.TrialSource attribute), [1]
- source_code (sagemaker.mlops.ModelBuilder attribute), [1]
- source_detail (sagemaker.core.shapes.shapes.TrialComponent attribute), [1]
- source_dir (sagemaker.core.jumpstart.JumpStartEstimatorDeployKwargs attribute)
- source_feature_group_arn (sagemaker.core.shapes.shapes.OnlineStoreReplicaMetadata attribute), [1]
- source_id (sagemaker.core.shapes.shapes.ActionSource attribute), [1]
- source_id_type (sagemaker.core.shapes.shapes.ArtifactSourceType attribute), [1]
- source_identity (sagemaker.core.resources.HyperParameterTuningJobInternal attribute), [1], [2], [3]
- source_ip (sagemaker.core.shapes.shapes.IamPolicyConstraints attribute), [1]
- source_ip_config (sagemaker.core.shapes.shapes.Workforce attribute), [1]
- source_model_package_arn (sagemaker.core.shapes.shapes.ModelPackageConfig attribute), [1]
- source_model_variant_name (sagemaker.core.shapes.shapes.ShadowModeConfig attribute), [1]
- source_name (sagemaker.core.resources.Association attribute), [1], [2], [3]
- source_pipeline_execution_arn (sagemaker.core.shapes.shapes.CacheHitResult attribute), [1]
- source_region_name (sagemaker.core.shapes.shapes.OnlineStoreReplicaMetadata attribute), [1]
- source_s3_uri (sagemaker.core.shapes.shapes.ClusterLifeCycleConfig attribute), [1]
- source_table_name (sagemaker.core.shapes.shapes.OnlineStoreReplicaMetadata attribute), [1]
- source_type (sagemaker.core.lineage.Association attribute)
- source_types (sagemaker.core.shapes.shapes.ArtifactSource attribute), [1]
- source_uri (sagemaker.core.jumpstart.JumpStartModelRegisterKwargs attribute)
- SourceAlgorithm (class in sagemaker.core.shapes.shapes)
- SourceAlgorithmSpecification (class in sagemaker.core.shapes.shapes)
- SourceCode (class in sagemaker.core.modules.configs)
- SourceIpConfig (class in sagemaker.core.shapes.shapes)
- sources (sagemaker.core.resources.TrialComponent attribute), [1], [2], [3]
- Space (class in sagemaker.core.resources), [1]
- space_arn (sagemaker.core.resources.Space attribute), [1], [2], [3]
- space_display_name (sagemaker.core.resources.Space attribute), [1], [2], [3]
- space_managed_resources (sagemaker.core.shapes.shapes.SpaceSettings attribute), [1]
- space_name (sagemaker.core.resources.App attribute), [1], [2], [3]
- space_settings (sagemaker.core.resources.Space attribute), [1], [2], [3]
- space_settings_summary (sagemaker.core.shapes.shapes.SpaceDetails attribute), [1]
- space_sharing_settings (sagemaker.core.resources.Space attribute), [1], [2], [3]
- space_sharing_settings_summary (sagemaker.core.shapes.shapes.SpaceDetails attribute), [1]
- space_storage_settings (sagemaker.core.shapes.shapes.DefaultSpaceSettings attribute), [1]
- SpaceAppLifecycleManagement (class in sagemaker.core.shapes.shapes)
- SpaceCodeEditorAppSettings (class in sagemaker.core.shapes.shapes)
- SpaceDetails (class in sagemaker.core.shapes.shapes)
- SpaceIdleSettings (class in sagemaker.core.shapes.shapes)
- SpaceJupyterLabAppSettings (class in sagemaker.core.shapes.shapes)
- SpaceSettings (class in sagemaker.core.shapes.shapes)
- SpaceSettingsSummary (class in sagemaker.core.shapes.shapes)
- SpaceSharingSettings (class in sagemaker.core.shapes.shapes)
- SpaceSharingSettingsSummary (class in sagemaker.core.shapes.shapes)
- SpaceStorageSettings (class in sagemaker.core.shapes.shapes)
- spark_event_logs_s3_uri (sagemaker.core.remote_function.spark_config.SparkConfig attribute)
- spark_event_logs_uri (sagemaker.core.remote_function.spark_config.SparkConfig attribute)
- SparkConfig (class in sagemaker.core.remote_function.spark_config)
- SparkConfigUtils (class in sagemaker.core.remote_function.spark_config)
- SparkJarProcessor (class in sagemaker.core.spark.processing)
- SPARKML (sagemaker.serve.constants.Framework attribute)
- SparseMatrixSerializer (class in sagemaker.core.serializers.base)
- spawn_rate (sagemaker.core.shapes.shapes.Phase attribute), [1]
- Spec (sagemaker.core.jumpstart.models.AccelerationConfigModel attribute)
- spec_key (sagemaker.core.jumpstart.JumpStartModelHeader attribute)
- SpecialSupportedFilterKeys (class in sagemaker.core.jumpstart.filters)
- specification (sagemaker.core.resources.InferenceComponent attribute), [1], [2], [3]
- specified_image (sagemaker.core.shapes.shapes.DeployedImage attribute), [1]
- SpecModel (class in sagemaker.core.jumpstart.models)
- specs (sagemaker.core.jumpstart.JumpStartEstimatorDeployKwargs attribute)
- speculative_decoding (sagemaker.core.jumpstart.JumpStartAdditionalDataSources attribute)
- speculative_decoding_config (sagemaker.core.shapes.shapes.OptimizationConfig attribute), [1]
- SPECULATIVE_DRAFT_MODEL_PROVIDER (sagemaker.core.enums.Tag attribute)
- SpeculativeDecodingConfig (class in sagemaker.core.shapes.shapes)
- SpeculativeDecodingDraftModelSource (class in sagemaker.serve.utils.types)
- split() (sagemaker.core.local.data.LineSplitter method)
- split_type (sagemaker.core.inputs.TransformInput attribute)
- Splitter (class in sagemaker.core.local.data)
- spot (sagemaker.core.shapes.shapes.ClusterCapacityRequirements attribute), [1]
- sqs_queue_url (sagemaker.core.shapes.shapes.CallbackStepMetadata attribute), [1]
- stack_detail (sagemaker.core.shapes.shapes.CfnTemplateProviderDetail attribute), [1]
- stage (sagemaker.core.shapes.shapes.ModelLifeCycle attribute), [1]
- stage_description (sagemaker.core.shapes.shapes.ModelLifeCycle attribute), [1]
- stage_name (sagemaker.core.shapes.shapes.DeploymentStage attribute), [1]
- stage_status (sagemaker.core.shapes.shapes.EdgeDeploymentStatus attribute), [1]
- stages (sagemaker.core.resources.EdgeDeploymentPlan attribute), [1], [2], [3]
- Stairs (class in sagemaker.core.shapes.shapes)
- stairs (sagemaker.core.shapes.shapes.TrafficPattern attribute), [1]
- STANDARD (sagemaker.mlops.feature_store.inputs.OnlineStoreStorageTypeEnum attribute)
- standard_metric_name (sagemaker.core.shapes.shapes.FinalAutoMLJobObjectiveMetric attribute), [1]
- start (sagemaker.core.shapes.shapes.MetricQuery attribute), [1]
- start() (sagemaker.core.resources.InferenceExperiment method), [1]
- start_date (sagemaker.mlops.workflow.PipelineSchedule attribute), [1]
- START_DATETIME (sagemaker.core.workflow.execution_variables.ExecutionVariables attribute)
- start_iteration_number (sagemaker.core.shapes.shapes.MetricQuery attribute), [1]
- start_monitoring_schedule() (sagemaker.core.model_monitor.model_monitoring.ModelMonitor method)
- start_pipeline_execution() (sagemaker.mlops.local.local_pipeline_session.LocalPipelineSession method)
- start_query_execution() (in module sagemaker.mlops.feature_store.feature_utils)
- start_resources (sagemaker.core.tools.resources_extractor.ResourcesExtractor attribute)
- start_sshd_daemon() (in module sagemaker.core.modules.train.container_drivers.distributed_drivers.mpi_driver)
- start_stage() (sagemaker.core.resources.EdgeDeploymentPlan method), [1]
- start_time (sagemaker.core.lineage.lineage_trial_component.LineageTrialComponent attribute), [1]
- (sagemaker.core.lineage.LineageTrialComponent attribute), [1]
- (sagemaker.core.resources.CapacitySchedule attribute), [1], [2], [3]
- (sagemaker.core.resources.TrainingPlan attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponent attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponentInternal attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.CapacityBlockOffering attribute), [1]
- (sagemaker.core.shapes.shapes.CapacityScheduleDetail attribute), [1]
- (sagemaker.core.shapes.shapes.CapacityScheduleStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.InferenceExperimentSchedule attribute), [1]
- (sagemaker.core.shapes.shapes.PendingDeploymentSummary attribute), [1]
- (sagemaker.core.shapes.shapes.PipelineExecutionStep attribute), [1]
- (sagemaker.core.shapes.shapes.PipelineExecutionSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ProductionVariantStatus attribute), [1]
- (sagemaker.core.shapes.shapes.ReservedCapacityOffering attribute), [1]
- (sagemaker.core.shapes.shapes.ReservedCapacitySummary attribute), [1]
- (sagemaker.core.shapes.shapes.SecondaryStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingPlanStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingPlanSummary attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponent attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponentSummary attribute), [1]
- (sagemaker.train.evaluate.execution.StepDetail attribute)
- (sagemaker.train.evaluate.StepDetail attribute), [1]
- start_time_offset (sagemaker.core.model_monitor.model_monitoring.MonitoringInput attribute)
- STARTING (sagemaker.core.common_utils.LogState attribute), [1]
- startup_parameters (sagemaker.core.shapes.shapes.InferenceComponentSpecification attribute), [1]
- STATIC (sagemaker.core.tools.method.MethodType attribute)
- static_hyper_parameters (sagemaker.core.shapes.shapes.HyperParameterTrainingJobDefinition attribute), [1]
- statistic (sagemaker.core.shapes.shapes.CustomizedMetricSpecification attribute), [1]
- Statistics (class in sagemaker.core.model_monitor.monitoring_files)
- statistics (sagemaker.core.shapes.shapes.DriftCheckModelDataQuality attribute), [1]
- statistics() (sagemaker.core.model_monitor.clarify_model_monitoring.ClarifyMonitoringExecution method)
- statistics_resource (sagemaker.core.shapes.shapes.DataQualityBaselineConfig attribute), [1]
- Status (class in sagemaker.core.telemetry)
- status (sagemaker.core.lineage.Action attribute), [1]
- (sagemaker.core.lineage.action.Action attribute), [1]
- (sagemaker.core.lineage.lineage_trial_component.LineageTrialComponent attribute), [1]
- (sagemaker.core.lineage.LineageTrialComponent attribute), [1]
- (sagemaker.core.resources.Action attribute), [1], [2], [3]
- (sagemaker.core.resources.ActionInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.App attribute), [1], [2], [3]
- (sagemaker.core.resources.CapacitySchedule attribute), [1], [2], [3]
- (sagemaker.core.resources.ClusterSchedulerConfig attribute), [1], [2], [3]
- (sagemaker.core.resources.ComputeQuota attribute), [1], [2], [3]
- (sagemaker.core.resources.Domain attribute), [1], [2], [3]
- (sagemaker.core.resources.InferenceExperiment attribute), [1], [2], [3]
- (sagemaker.core.resources.InferenceRecommendationsJob attribute), [1], [2], [3]
- (sagemaker.core.resources.MlflowApp attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelCardExportJob attribute), [1], [2], [3]
- (sagemaker.core.resources.PartnerApp attribute), [1], [2], [3]
- (sagemaker.core.resources.PersistentVolume attribute), [1], [2], [3]
- (sagemaker.core.resources.Space attribute), [1], [2], [3]
- (sagemaker.core.resources.TrainingPlan attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponent attribute), [1], [2], [3]
- (sagemaker.core.resources.TrialComponentInternal attribute), [1], [2], [3]
- (sagemaker.core.resources.UserProfile attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.ActionSummary attribute), [1]
- (sagemaker.core.shapes.shapes.AlgorithmStatusItem attribute), [1]
- (sagemaker.core.shapes.shapes.AmazonQSettings attribute), [1]
- (sagemaker.core.shapes.shapes.App attribute), [1]
- (sagemaker.core.shapes.shapes.AppDetails attribute), [1]
- (sagemaker.core.shapes.shapes.CapacityScheduleDetail attribute), [1]
- (sagemaker.core.shapes.shapes.CapacityScheduleStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.ClusterAutoScalingConfigOutput attribute), [1]
- (sagemaker.core.shapes.shapes.ClusterInstanceGroupDetails attribute), [1]
- (sagemaker.core.shapes.shapes.ClusterInstanceStatusDetails attribute), [1]
- (sagemaker.core.shapes.shapes.ClusterRestrictedInstanceGroupDetails attribute), [1]
- (sagemaker.core.shapes.shapes.ClusterSchedulerConfigSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ComponentJobSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ComputeQuotaSummary attribute), [1]
- (sagemaker.core.shapes.shapes.DataScienceAssistantSettings attribute), [1]
- (sagemaker.core.shapes.shapes.DirectDeploySettings attribute), [1]
- (sagemaker.core.shapes.shapes.Domain attribute), [1]
- (sagemaker.core.shapes.shapes.DomainDetails attribute), [1]
- (sagemaker.core.shapes.shapes.EdgePresetDeploymentOutput attribute), [1]
- (sagemaker.core.shapes.shapes.EmrServerlessSettings attribute), [1]
- (sagemaker.core.shapes.shapes.IdentityProviderOAuthSetting attribute), [1]
- (sagemaker.core.shapes.shapes.InferenceExperimentSummary attribute), [1]
- (sagemaker.core.shapes.shapes.InferenceRecommendationsJob attribute), [1]
- (sagemaker.core.shapes.shapes.InferenceRecommendationsJobStep attribute), [1]
- (sagemaker.core.shapes.shapes.KendraSettings attribute), [1]
- (sagemaker.core.shapes.shapes.LastUpdateStatus attribute), [1]
- (sagemaker.core.shapes.shapes.MetricQueryResult attribute), [1]
- (sagemaker.core.shapes.shapes.MlflowAppSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ModelCardExportJobSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ModelPackageStatusItem attribute), [1]
- (sagemaker.core.shapes.shapes.ModelRegisterSettings attribute), [1]
- (sagemaker.core.shapes.shapes.ModelVariantConfigSummary attribute), [1]
- (sagemaker.core.shapes.shapes.NodeAdditionResult attribute), [1]
- (sagemaker.core.shapes.shapes.OfflineStoreStatus attribute), [1]
- (sagemaker.core.shapes.shapes.OnlineStoreReplicaStatus attribute), [1]
- (sagemaker.core.shapes.shapes.PartnerAppSummary attribute), [1]
- (sagemaker.core.shapes.shapes.ProductionVariantManagedInstanceScaling attribute), [1]
- (sagemaker.core.shapes.shapes.ProductionVariantStatus attribute), [1]
- (sagemaker.core.shapes.shapes.ReservedCapacitySummary attribute), [1]
- (sagemaker.core.shapes.shapes.SecondaryStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.SpaceDetails attribute), [1]
- (sagemaker.core.shapes.shapes.TimeSeriesForecastingSettings attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingPlanStatusTransition attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingPlanSummary attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponent attribute), [1]
- (sagemaker.core.shapes.shapes.TrialComponentSummary attribute), [1]
- (sagemaker.core.shapes.shapes.TrustedIdentityPropagationSettings attribute), [1]
- (sagemaker.core.shapes.shapes.UserProfile attribute), [1]
- (sagemaker.core.shapes.shapes.UserProfileDetails attribute), [1]
- (sagemaker.core.shapes.shapes.WarmPoolStatus attribute), [1]
- (sagemaker.core.shapes.shapes.Workforce attribute), [1]
- (sagemaker.train.evaluate.EvaluationPipelineExecution attribute), [1]
- (sagemaker.train.evaluate.execution.BenchmarkEvaluationExecution attribute)
- (sagemaker.train.evaluate.execution.EvaluationPipelineExecution attribute)
- (sagemaker.train.evaluate.execution.LLMAJEvaluationExecution attribute)
- (sagemaker.train.evaluate.execution.StepDetail attribute)
- (sagemaker.train.evaluate.StepDetail attribute), [1]
- status_details (sagemaker.core.shapes.shapes.DebugRuleEvaluationStatus attribute), [1]
- status_message (sagemaker.core.resources.TrainingPlan attribute), [1], [2], [3]
- status_reason (sagemaker.core.resources.InferenceExperiment attribute), [1], [2], [3]
- std_dev (sagemaker.core.shapes.shapes.TrialComponentMetricSummary attribute), [1]
- Step (class in sagemaker.mlops.workflow), [1]
- step (sagemaker.core.workflow.functions.JsonGet attribute), [1]
- step() (in module sagemaker.mlops.workflow.function_step)
- step_compilation_context_manager() (in module sagemaker.core.workflow.utilities)
- step_description (sagemaker.core.shapes.shapes.PipelineExecutionStep attribute), [1]
- step_details (sagemaker.train.evaluate.execution.PipelineExecutionStatus attribute)
- step_display_name (sagemaker.core.shapes.shapes.PipelineExecutionStep attribute), [1]
- step_id (sagemaker.core.shapes.shapes.EMRStepMetadata attribute), [1]
- step_name (sagemaker.core.remote_function.core.pipeline_variables.Context attribute)
- step_only_arguments (sagemaker.mlops.workflow.condition_step.ConditionStep property)
- step_status (sagemaker.core.shapes.shapes.PipelineExecutionStep attribute), [1]
- step_type (sagemaker.core.shapes.shapes.InferenceRecommendationsJobStep attribute), [1]
- StepCollection (class in sagemaker.mlops.workflow), [1]
- StepDetail (class in sagemaker.train.evaluate), [1]
- StepExceptionTypeEnum (class in sagemaker.mlops.workflow), [1]
- StepExecutionException
- StepOutput (class in sagemaker.core.workflow)
- StepRange (class in sagemaker.core.debugger.metrics_config)
- StepRetryPolicy (class in sagemaker.mlops.workflow), [1]
- steps (sagemaker.mlops.workflow.pipeline.PipelineGraph attribute)
- StepTypeEnum (class in sagemaker.mlops.workflow), [1]
- stop() (sagemaker.core.resources.AutoMLJob method), [1]
- (sagemaker.core.resources.CapacitySchedule method), [1]
- (sagemaker.core.resources.CompilationJob method), [1]
- (sagemaker.core.resources.EdgePackagingJob method), [1]
- (sagemaker.core.resources.HyperParameterTuningJob method), [1]
- (sagemaker.core.resources.HyperParameterTuningJobInternal method), [1]
- (sagemaker.core.resources.InferenceExperiment method), [1]
- (sagemaker.core.resources.InferenceRecommendationsJob method), [1]
- (sagemaker.core.resources.LabelingJob method), [1]
- (sagemaker.core.resources.MlflowTrackingServer method), [1]
- (sagemaker.core.resources.MonitoringSchedule method), [1]
- (sagemaker.core.resources.NotebookInstance method), [1]
- (sagemaker.core.resources.OptimizationJob method), [1]
- (sagemaker.core.resources.PartnerApp method), [1]
- (sagemaker.core.resources.PipelineExecution method), [1]
- (sagemaker.core.resources.ProcessingJob method), [1]
- (sagemaker.core.resources.TrainingJob method), [1]
- (sagemaker.core.resources.TrainingPlan method), [1]
- (sagemaker.core.resources.TransformJob method), [1]
- (sagemaker.train.evaluate.EvaluationPipelineExecution method), [1]
- (sagemaker.train.evaluate.execution.EvaluationPipelineExecution method)
- stop_monitoring_schedule() (sagemaker.core.model_monitor.model_monitoring.ModelMonitor method)
- stop_stage() (sagemaker.core.resources.EdgeDeploymentPlan method), [1]
- stop_transform_job() (sagemaker.core.transformer.Transformer method), [1]
- stop_tuning_job() (sagemaker.train.tuner.HyperparameterTuner method)
- stopped (sagemaker.core.shapes.shapes.TrainingJobStatusCounters attribute), [1]
- stopping_condition (sagemaker.core.resources.CompilationJob attribute), [1], [2], [3]
- (sagemaker.core.resources.CrossAccountTrainingJob attribute), [1], [2], [3]
- (sagemaker.core.resources.CustomMonitoringJobDefinition attribute), [1], [2], [3]
- (sagemaker.core.resources.DataQualityJobDefinition attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelBiasJobDefinition attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelExplainabilityJobDefinition attribute), [1], [2], [3]
- (sagemaker.core.resources.ModelQualityJobDefinition attribute), [1], [2], [3]
- (sagemaker.core.resources.OptimizationJob attribute), [1], [2], [3]
- (sagemaker.core.resources.ProcessingJob attribute), [1], [2], [3]
- (sagemaker.core.resources.TrainingJob attribute), [1], [2], [3]
- (sagemaker.core.shapes.shapes.CustomMonitoringJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.DataQualityJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.HyperParameterTrainingJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.ModelBiasJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.ModelExplainabilityJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.ModelQualityJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.MonitoringJobDefinition attribute), [1]
- (sagemaker.core.shapes.shapes.ProcessingJob attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingJob attribute), [1]
- (sagemaker.core.shapes.shapes.TrainingJobDefinition attribute), [1]
- (sagemaker.train.model_trainer.ModelTrainer attribute)
- stopping_conditions (sagemaker.core.resources.InferenceRecommendationsJob attribute), [1], [2], [3]
- StoppingCondition (class in sagemaker.core.modules.configs)
- storage_account_id (sagemaker.core.shapes.shapes.OnlineStoreMetadata attribute), [1]
- storage_account_stage_test_override (sagemaker.core.resources.FeatureGroupInternal attribute), [1], [2], [3]
- storage_integration (sagemaker.core.shapes.shapes.AutoMLSnowflakeDatasetDefinition attribute), [1]
- storage_type (sagemaker.core.shapes.shapes.OnlineStoreConfig attribute), [1]
- StoredFunction (class in sagemaker.core.remote_function.core.stored_function)
- strategy (sagemaker.core.shapes.shapes.HyperParameterTuningJobConfig attribute), [1]
- strategy_config (sagemaker.core.shapes.shapes.HyperParameterTuningJobConfig attribute), [1]
- stream_id (sagemaker.core.utils.logs.LogStreamHandler attribute)
- StreamDeserializer (class in sagemaker.core.deserializers.base)
- streams (sagemaker.core.utils.logs.MultiLogStreamHandler attribute)
- StrEnum (class in sagemaker.core.jumpstart.models)
- STRING (sagemaker.core.workflow.parameters.ParameterTypeEnum attribute)
- String (sagemaker.mlops.workflow.callback_step.CallbackOutputTypeEnum attribute)
- string_value (sagemaker.core.shapes.shapes.TrialComponentParameterValue attribute), [1]
- StringDeserializer (class in sagemaker.core.deserializers.base)
- StringFeatureDefinition() (in module sagemaker.mlops.feature_store), [1]
- stringify_object() (in module sagemaker.core.common_utils), [1]
- StringSerializer (class in sagemaker.core.serializers.base)
- sts_regional_endpoint() (in module sagemaker.core.common_utils), [1]
- studio_lifecycle_config_app_type (sagemaker.core.resources.StudioLifecycleConfig attribute), [1], [2], [3]
- studio_lifecycle_config_arn (sagemaker.core.resources.StudioLifecycleConfig attribute), [1], [2], [3]
- studio_lifecycle_config_content (sagemaker.core.resources.StudioLifecycleConfig attribute), [1], [2], [3]
- studio_lifecycle_config_name (sagemaker.core.resources.StudioLifecycleConfig attribute), [1], [2], [3]
- studio_web_portal (sagemaker.core.shapes.shapes.UserSettings attribute), [1]
- studio_web_portal_access (sagemaker.core.shapes.shapes.UnifiedStudioSettings attribute), [1]
- studio_web_portal_settings (sagemaker.core.shapes.shapes.UserSettings attribute), [1]
- StudioLifecycleConfig (class in sagemaker.core.resources), [1]
- StudioLifecycleConfigDetails (class in sagemaker.core.shapes.shapes)
- StudioUserSettings (class in sagemaker.core.shapes.shapes)
- StudioWebPortalSettings (class in sagemaker.core.shapes.shapes)
- sub_domain (sagemaker.core.shapes.shapes.Workforce attribute), [1]
- sub_expressions (sagemaker.core.shapes.shapes.SearchExpression attribute), [1]
- submit() (sagemaker.core.remote_function.client.RemoteExecutor method)
- submit_files (sagemaker.core.remote_function.spark_config.SparkConfig attribute), [1]
- submit_jars (sagemaker.core.remote_function.spark_config.SparkConfig attribute), [1]
- submit_py_files (sagemaker.core.remote_function.spark_config.SparkConfig attribute), [1]
- subnet_id (sagemaker.core.resources.NotebookInstance attribute), [1], [2], [3]
- subnet_ids (sagemaker.core.resources.Domain attribute), [1], [2], [3]
- subnets (sagemaker.core.jumpstart.JumpStartEstimatorInitKwargs attribute)
- subscribed_workteam (sagemaker.core.resources.SubscribedWorkteam attribute), [1], [2], [3]
- SubscribedWorkteam (class in sagemaker.core.resources), [1]
- subtasks (sagemaker.train.evaluate.benchmark_evaluator.BenchMarkEvaluator attribute), [1]
- succeeded (sagemaker.core.shapes.shapes.ObjectiveStatusCounters attribute), [1]
- SUCCESS (sagemaker.core.telemetry.constants.Status attribute)
- success_topic (sagemaker.core.shapes.shapes.AsyncInferenceNotificationConfig attribute), [1]
- successful (sagemaker.core.shapes.shapes.BatchDeleteClusterNodesResponse attribute), [1]
- successful_node_logical_ids (sagemaker.core.shapes.shapes.BatchDeleteClusterNodesResponse attribute), [1]
- suggest_baseline() (sagemaker.core.model_monitor.clarify_model_monitoring.ModelBiasMonitor method)
- suggested_constraints() (sagemaker.core.model_monitor.clarify_model_monitoring.ClarifyBaseliningJob method)
- SuggestionQuery (class in sagemaker.core.shapes.shapes)
- support_status (sagemaker.core.resources.HubContent attribute), [1], [2], [3]
- supported_accept_types (sagemaker.core.jumpstart.JumpStartPredictorSpecs attribute)
- supported_compression_types (sagemaker.core.shapes.shapes.ChannelSpecification attribute), [1]
- supported_content_types (sagemaker.core.jumpstart.JumpStartPredictorSpecs attribute)
- supported_endpoint_type (sagemaker.core.shapes.shapes.RecommendationJobContainerConfig attribute), [1]
- supported_hyper_parameters (sagemaker.core.shapes.shapes.TrainingSpecification attribute), [1]
- supported_incremental_training_configs (sagemaker.core.jumpstart.JumpStartMetadataConfig attribute)
- supported_inference_configs (sagemaker.core.jumpstart.JumpStartMetadataConfig attribute)
- supported_inference_instance_types (sagemaker.core.jumpstart.hub.interfaces.HubModelDocument attribute)
- supported_input_modes (sagemaker.core.shapes.shapes.ChannelSpecification attribute), [1]
- SUPPORTED_INSTANCE_CLASS_PREFIXES (sagemaker.core.training_compiler.config.TrainingCompilerConfig attribute)
- supported_instance_types (sagemaker.core.shapes.shapes.RecommendationJobContainerConfig attribute), [1]
- supported_realtime_inference_instance_types (sagemaker.core.shapes.shapes.AdditionalInferenceSpecificationDefinition attribute), [1]
- supported_response_mime_types (sagemaker.core.shapes.shapes.AdditionalInferenceSpecificationDefinition attribute), [1]
- supported_training_instance_types (sagemaker.core.jumpstart.hub.interfaces.HubModelDocument attribute)
- supported_transform_instance_types (sagemaker.core.shapes.shapes.AdditionalInferenceSpecificationDefinition attribute), [1]
- supported_tuning_job_objective_metrics (sagemaker.core.shapes.shapes.TrainingSpecification attribute), [1]
- SupportedAcceptTypes (sagemaker.core.jumpstart.models.SageMakerSdkPredictorSpecificationsModel attribute)
- SupportedContentTypes (sagemaker.core.jumpstart.models.SageMakerSdkPredictorSpecificationsModel attribute)
- SupportedInferenceInstanceTypes (sagemaker.core.jumpstart.models.HostingComponentsModel attribute)
- SupportedInteractiveAppTypes (class in sagemaker.core.interactive_apps)
- SupportedTrainingInstanceTypes (sagemaker.core.jumpstart.models.TrainingComponentsModel attribute)
- supports_distributed_training (sagemaker.core.shapes.shapes.TrainingSpecification attribute), [1]
- supports_incremental_training() (sagemaker.core.jumpstart.JumpStartModelSpecs method)
- supports_prepacked_inference() (sagemaker.core.jumpstart.JumpStartModelSpecs method)
- sweep_list_item (sagemaker.core.shapes.shapes.TagrisInvalidArnException attribute), [1]
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