sagemaker-python-sdk の API リファレンス
sagemaker-python-sdk (aws/sagemaker-python-sdk) の公開 API 400 件 —— クラス 270、関数 49、メソッド 81。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。
リポジトリ: aws/sagemaker-python-sdk
| 種別 | 件数 |
|---|---|
| クラス | 270 |
| 関数 | 49 |
| メソッド | 81 |
API 一覧
class
sagemaker-core.src.sagemaker.core.apiutils._base_types.ApiObjectA Python class representation of a boto API object.
func
sagemaker-core.src.sagemaker.core.apiutils._utils.default_session()Create a default session.
class
sagemaker-core.src.sagemaker.core.clarify.ImageConfigConfig object for handling images
class
sagemaker-core.src.sagemaker.core.clarify.PDPConfigConfig class for Partial Dependence Plots (PDP).
class
sagemaker-core.src.sagemaker.core.collection.CollectionSets up an Amazon SageMaker Collection.
method
sagemaker-core.src.sagemaker.core.collection.Collection.create(collection_name:str, parent_collection_name:str=None)Creates a Collection.
method
sagemaker-core.src.sagemaker.core.collection.Collection.delete(collections:List[str])Deletes a list of Collections.
class
sagemaker-core.src.sagemaker.core.common_utils.LogStatePlaceholder docstring
class
sagemaker-core.src.sagemaker.core.common_utils.ModelApprovalStatusEnumModel package approval status enumerator
func
sagemaker-core.src.sagemaker.core.common_utils.camel_to_snake(camel_case_string:str) -> strConverts camelCase to snake_case_string using a regex.
func
sagemaker-core.src.sagemaker.core.common_utils.create_paginator_config(max_items:int=None, page_size:int=None) -> Dict[str, int]Placeholder docstring
func
sagemaker-core.src.sagemaker.core.common_utils.flatten_dict(d:Dict[str, Any], max_flatten_depth=None) -> Dict[str, Any]Flatten a dictionary object.
func
sagemaker-core.src.sagemaker.core.common_utils.get_config_value(key_path, config)Placeholder Docstring
func
sagemaker-core.src.sagemaker.core.common_utils.get_domain_for_region(region:str) -> strReturns the domain for the given region.
func
sagemaker-core.src.sagemaker.core.common_utils.get_instance_type_family(instance_type:str) -> strReturn the family of the instance type.
func
sagemaker-core.src.sagemaker.core.common_utils.get_module(module_name)Import a module.
func
sagemaker-core.src.sagemaker.core.common_utils.nested_set_dict(d:Dict[str, Any], keys:List[str], value:Any) -> NoneSet a value to a sequence of nested keys.
func
sagemaker-core.src.sagemaker.core.common_utils.tag_exists(tag:TagsDict, curr_tags:Optional[Tags]) -> boolReturns True if ``tag`` already exists.
func
sagemaker-core.src.sagemaker.core.common_utils.unflatten_dict(d:Dict[str, Any]) -> Dict[str, Any]Unflatten dict-like object.
func
sagemaker-core.src.sagemaker.core.common_utils.unique_name_from_base(base, max_length=63)Placeholder Docstring
func
sagemaker-core.src.sagemaker.core.config.config.load_local_mode_config() -> dict | NoneLoads the local mode config file.
func
sagemaker-core.src.sagemaker.core.config.config.load_sagemaker_config(additional_config_paths:List[str]=None, s3_resource=None, repeat_log=False) -> dictLoads config files and merges them.
class
sagemaker-core.src.sagemaker.core.debugger.debugger.DetailedProfilerProcessingJobConfigProfilerRule like class.
class
sagemaker-core.src.sagemaker.core.debugger.metrics_config.StepRangeConfiguration for the range of steps to profile.
class
sagemaker-core.src.sagemaker.core.deprecations.DeprecatedClassProvides a warning for the class name.
class
sagemaker-core.src.sagemaker.core.deserializers.base.TorchTensorDeserializerDeserialize stream to torch.Tensor.
class
sagemaker-core.src.sagemaker.core.enums.EndpointTypeTypes of endpoint
class
sagemaker-core.src.sagemaker.core.enums.RoutingStrategyStrategy for routing https traffics.
class
sagemaker-core.src.sagemaker.core.enums.TagEnum class for tag keys to apply to models.
class
sagemaker-core.src.sagemaker.core.experiments._api_types.TrialComponentArtifactTrial component artifact.
class
sagemaker-core.src.sagemaker.core.experiments._api_types.TrialComponentMetricSummarySummary model of a trial component.
class
sagemaker-core.src.sagemaker.core.experiments._api_types.TrialComponentStatusStatus of the trial component.
class
sagemaker-core.src.sagemaker.core.experiments._api_types.TrialComponentSummarySummary model of a trial component.
class
sagemaker-core.src.sagemaker.core.experiments._api_types.TrialSummarySummary model of a trial.
method
sagemaker-core.src.sagemaker.core.experiments.run.Run.experiment_config() -> dictGet experiment config from run attributes.
class
sagemaker-core.src.sagemaker.core.explainer.explainer_config.ExplainerConfigA parameter to activate explainers.
class
sagemaker-core.src.sagemaker.core.helper.session_helper.LogStatePlaceholder docstring
method
sagemaker-core.src.sagemaker.core.helper.session_helper.Session.account_id() -> strGet the AWS account id of the caller.
method
sagemaker-core.src.sagemaker.core.helper.session_helper.Session.boto_region_name()Placeholder docstring
class
sagemaker-core.src.sagemaker.core.inputs.ShuffleConfigFor configuring channel shuffling using a seed.
class
sagemaker-core.src.sagemaker.core.jumpstart.configs.BaseConfigBaseConfig
class
sagemaker-core.src.sagemaker.core.jumpstart.configs.JumpStartConfigConfiguration Class for JumpStart.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.HubContentCapabilityEnum class for HubContent capabilities.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.JumpStartConfigRankingNameEnum class for ranking of JumpStart config.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.JumpStartModelTypeEnum class for JumpStart model type.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.JumpStartScriptScopeEnum class for JumpStart script scopes.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.ModelFrameworkEnum class for JumpStart model framework.
class
sagemaker-core.src.sagemaker.core.jumpstart.enums.NamingConventionTypeEnum class for naming conventions.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.And.eval() -> NoneEvaluates operator.
class
sagemaker-core.src.sagemaker.core.jumpstart.filters.BooleanValuesEnum class for boolean values.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Constant.eval() -> NoneEvaluates constant
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Identity.eval() -> NoneEvaluates operator.
class
sagemaker-core.src.sagemaker.core.jumpstart.filters.ModelFilterData holder class to store model filters.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.ModelFilter.set_key(key:str) -> NoneSets the key for the model filter.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.ModelFilter.set_value(value:str) -> NoneSets the value for the model filter.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Not.eval() -> NoneEvaluates operator.
class
sagemaker-core.src.sagemaker.core.jumpstart.filters.OperandOperand class for filtering JumpStart content.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Operand.eval() -> NoneEvaluates operand.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Operand.resolved_value() -> BooleanValuesGetter method for resolved_value.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Operand.validate_operand(operand:Any) -> AnyValidate operand and return ``Operand`` object.
class
sagemaker-core.src.sagemaker.core.jumpstart.filters.OperatorOperator class for filtering JumpStart content.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Operator.eval() -> NoneEvaluates operator.
class
sagemaker-core.src.sagemaker.core.jumpstart.filters.OrOr operator class for filtering JumpStart content.
method
sagemaker-core.src.sagemaker.core.jumpstart.filters.Or.eval() -> NoneEvaluates operator.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.hub.Hub.delete() -> NoneDeletes this SageMaker Hub.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.hub.Hub.delete_model_reference(model_name:str) -> NoneDeletes model reference from this SageMaker Hub.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.hub.Hub.describe(hub_name:Optional[str]=None) -> DescribeHubResponseReturns descriptive information about the Hub
class
sagemaker-core.src.sagemaker.core.jumpstart.hub.interfaces.EcrUriData class for ECR image uri.
class
sagemaker-core.src.sagemaker.core.jumpstart.hub.interfaces.HubDataHolderTypeBase class for many Hub API interfaces.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.interfaces.HubDataHolderType.to_json() -> Dict[str, Any]Returns json representation of object.
class
sagemaker-core.src.sagemaker.core.jumpstart.hub.interfaces.NotebookLocationUrisData class for Notebook Location uri.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.interfaces.NotebookLocationUris.from_json(json_obj:str) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.hub.types.S3ObjectLocationHelper class for S3 object references.
method
sagemaker-core.src.sagemaker.core.jumpstart.hub.types.S3ObjectLocation.get_uri() -> strReturns the s3 URI
class
sagemaker-core.src.sagemaker.core.jumpstart.models.AccelerationConfigModelAccelerationConfigModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.BenchmarkMetricModelBenchmarkMetricModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.CapabilityEnumCapabilityEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.CompressionTypeEnumCompressionTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ConfigSchemaModelConfigSchemaModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ContextualHelpModelContextualHelpModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.DefaultPayloadsModelDefaultPayloadsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.DemoNotebookModelDemoNotebookModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.DependencyModelDependencyModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.DependencyTypeEnumDependencyTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.DiyWorkflowOverridesModelDiyWorkflowOverridesModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingAdditionalDataSourceModelHostingAdditionalDataSourceModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingArtifactCompressionTypeEnumHostingArtifactCompressionTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingArtifactS3DataTypeEnumHostingArtifactS3DataTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingComponentsModelHostingComponentsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingEcrSpecsModelHostingEcrSpecsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingInstanceTypeVariantsModelHostingInstanceTypeVariantsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingResourceRequirementsModelHostingResourceRequirementsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingVariantModelHostingVariantModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HostingVariantPropertiesModelHostingVariantPropertiesModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HubAccessConfigModelHubAccessConfigModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HubContentDependencyModelHubContentDependencyModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HyperparameterLowerModelHyperparameterLowerModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.HyperparameterUpperModelHyperparameterUpperModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.InferenceAmiVersionEnumInferenceAmiVersionEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.InferenceEnvironmentVariablesModelInferenceEnvironmentVariablesModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ModelTypeEnumModelTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.NotebookLocationsModelNotebookLocationsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.OutputKeysModelOutputKeysModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ProviderModelProviderModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.RankingSchemaModelRankingSchemaModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ResourceModelResourceModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.S3DataSourceModelS3DataSourceModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.S3DataTypeEnumS3DataTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ScopeEnumScopeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.SpecModelSpecModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingArtifactCompressionTypeEnumTrainingArtifactCompressionTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingArtifactS3DataTypeEnumTrainingArtifactS3DataTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingComponentsModelTrainingComponentsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingInstanceTypeVariantsModelTrainingInstanceTypeVariantsModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingMetricModelTrainingMetricModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingVariantModelTrainingVariantModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TrainingVarientPropertiesModelTrainingVarientPropertiesModel
class
sagemaker-core.src.sagemaker.core.jumpstart.models.TypeEnumTypeEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.models.ValidatorEnumValidatorEnum
class
sagemaker-core.src.sagemaker.core.jumpstart.types.BaseDeploymentConfigDataHolderBase class for Deployment Config Data.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.BaseDeploymentConfigDataHolder.to_json() -> Dict[str, Any]Represents ``This`` object as JSON.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.DeploymentArgsDataclass representing a Deployment Args.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.HubArnExtractedInfoData class for info extracted from Hub arn.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.HubContentTypeEnum for Hub content objects.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.HubTypeEnum for Hub objects.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartAdditionalDataSourcesData class of additional data sources.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartAdditionalDataSources.from_json(json_obj:Dict[str, Any]) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartBenchmarkStatData class JumpStart benchmark stat.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartBenchmarkStat.from_json(json_obj:Dict[str, Any]) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartCachedContentKeyData class for the cached content keys.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartConfigComponentData class of JumpStart config component.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartConfigRankingData class JumpStart config ranking.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartConfigRanking.from_json(json_obj:Dict[str, Any]) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartDataHolderTypeBase class for many JumpStart types.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartECRSpecsData class for JumpStart ECR specs.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartECRSpecs.from_json(json_obj:Dict[str, Any]) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartKwargsData class for JumpStart object kwargs.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartLaunchedRegionInfoData class for launched region info.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartMetadataConfigData class of JumpStart metadata config.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartModelHeaderData class JumpStart model header.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartModelHeader.from_json(json_obj:Dict[str, str]) -> NoneSets fields in object based on json of header.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartModelSpecsData class JumpStart model specs.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartModelSpecs.from_json(json_obj:Dict[str, Any]) -> NoneSets fields in object based on json of header.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartPredictorSpecsData class for JumpStart Predictor specs.
method
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartPredictorSpecs.from_json(json_obj:Optional[Dict[str, Any]]) -> NoneSets fields in object based on json.
class
sagemaker-core.src.sagemaker.core.jumpstart.types.JumpStartVersionedModelIdData class for versioned model IDs.
func
sagemaker-core.src.sagemaker.core.jumpstart.utils.get_formatted_eula_message_template(model_id:str, region:str, hosting_eula_key:str) -> strReturns a formatted EULA message.
func
sagemaker-core.src.sagemaker.core.jumpstart.utils.get_sagemaker_version() -> strReturns sagemaker library version.
func
sagemaker-core.src.sagemaker.core.jumpstart.utils.is_pipeline_variable(var:object) -> boolCheck if the variable is a pipeline variable
func
sagemaker-core.src.sagemaker.core.jumpstart.utils.parse_sagemaker_version() -> strReturns sagemaker library version.
method
sagemaker-core.src.sagemaker.core.lambda_helper.Lambda.update()Method to update a lambda function.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ActionSourceActionSource.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ActionSummarySummary model of an action.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ArtifactSourceArtifactSource.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ArtifactSourceTypeArtifactSourceType.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ArtifactSummarySummary model of an Artifact.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.AssociationSummarySummary model of an association.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ContextSourceContextSource.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.ContextSummarySummary model of an context.
class
sagemaker-core.src.sagemaker.core.lineage._api_types.UserContextSummary model of a user context.
method
sagemaker-core.src.sagemaker.core.lineage.action.Action.delete(disassociate:bool=False)Delete the action.
method
sagemaker-core.src.sagemaker.core.lineage.action.Action.save() -> 'Action'Save the state of this Action to SageMaker.
method
sagemaker-core.src.sagemaker.core.lineage.action.Action.set_tag(tag=None)Add a tag to the object.
method
sagemaker-core.src.sagemaker.core.lineage.action.Action.set_tags(tags=None)Add tags to the object.
method
sagemaker-core.src.sagemaker.core.lineage.artifact.Artifact.delete(disassociate:bool=False)Delete the artifact object.
method
sagemaker-core.src.sagemaker.core.lineage.artifact.Artifact.set_tag(tag=None)Add a tag to the object.
method
sagemaker-core.src.sagemaker.core.lineage.artifact.Artifact.set_tags(tags=None)Add tags to the object.
method
sagemaker-core.src.sagemaker.core.lineage.context.Context.delete(disassociate:bool=False)Delete the context object.
method
sagemaker-core.src.sagemaker.core.lineage.context.Context.save() -> 'Context'Save the state of this Context to SageMaker.
method
sagemaker-core.src.sagemaker.core.lineage.context.Context.set_tag(tag=None)Add a tag to the object.
method
sagemaker-core.src.sagemaker.core.lineage.context.Context.set_tags(tags=None)Add tags to the object.
class
sagemaker-core.src.sagemaker.core.lineage.query.EdgeA connecting edge for a lineage graph.
class
sagemaker-core.src.sagemaker.core.lineage.query.LineageFilterA filter used in a lineage query.
class
sagemaker-core.src.sagemaker.core.lineage.query.LineageQueryDirectionEnumEnum of query filter directions.
class
sagemaker-core.src.sagemaker.core.lineage.query.VertexA vertex for a lineage graph.
class
sagemaker-core.src.sagemaker.core.local.data.BatchStrategyPlaceholder docstring
class
sagemaker-core.src.sagemaker.core.local.data.DataSourcePlaceholder docstring
class
sagemaker-core.src.sagemaker.core.local.data.LineSplitterSplit records by new line.
class
sagemaker-core.src.sagemaker.core.local.data.RecordIOSplitterSplit using Amazon Recordio.
class
sagemaker-core.src.sagemaker.core.local.data.SplitterPlaceholder docstring
class
sagemaker-core.src.sagemaker.core.local.local_session.LocalSessionA SageMaker ``Session`` class for Local Mode.
method
sagemaker-core.src.sagemaker.core.local.local_session.LocalSession.config(value:Dict | None)Setter of the local mode config
class
sagemaker-core.src.sagemaker.core.modules.configs.BaseConfigBaseConfig
class
sagemaker-core.src.sagemaker.core.modules.configs.ComputeCompute.
class
sagemaker-core.src.sagemaker.core.modules.configs.InputDataInputData.
class
sagemaker-core.src.sagemaker.core.modules.configs.NetworkingNetworking.
class
sagemaker-core.src.sagemaker.core.modules.configs.SourceCodeSourceCode.
class
sagemaker-core.src.sagemaker.core.modules.distributed.MPIMPI.
method
sagemaker-core.src.sagemaker.core.modules.distributed.MPI.driver_dir() -> strDirectory containing the driver script.
method
sagemaker-core.src.sagemaker.core.modules.distributed.MPI.driver_script() -> strName of the driver script.
class
sagemaker-core.src.sagemaker.core.modules.distributed.SMPSMP.
class
sagemaker-core.src.sagemaker.core.modules.distributed.TorchrunTorchrun.
method
sagemaker-core.src.sagemaker.core.modules.distributed.Torchrun.driver_dir() -> strDirectory containing the driver script.
method
sagemaker-core.src.sagemaker.core.modules.distributed.Torchrun.driver_script() -> strName of the driver script.
func
sagemaker-core.src.sagemaker.core.modules.train.container_drivers.common.utils.get_python_executable() -> strGet the python executable path.
func
sagemaker-core.src.sagemaker.core.modules.train.container_drivers.common.utils.safe_deserialize(data:Any) -> AnySafely deserialize data from a JSON string.
class
sagemaker-core.src.sagemaker.core.parameter.ParameterRangeBase class for representing parameter ranges.
method
sagemaker-core.src.sagemaker.core.parameter.ParameterRange.cast_to_type(value)Placeholder docstring
class
sagemaker-core.src.sagemaker.core.partner_app.auth_utils.PartnerAppAuthUtilsPartner App Auth Utils Class
class
sagemaker-core.src.sagemaker.core.processing.ProcessorHandles Amazon SageMaker Processing tasks.
method
sagemaker-core.src.sagemaker.core.remote_function.client.Future.cancel() -> boolCancel the function execution.
method
sagemaker-core.src.sagemaker.core.remote_function.client.Future.result(timeout:float=None) -> AnyReturns the SageMaker job result.
method
sagemaker-core.src.sagemaker.core.remote_function.client.Future.wait(timeout:int=None) -> NoneWait for the underlying SageMaker job to complete.
class
sagemaker-core.src.sagemaker.core.remote_function.core.pipeline_variables.ContextContext for an execution.
class
sagemaker-core.src.sagemaker.core.remote_function.core.serialization.CloudpickleSerializerSerializer using cloudpickle.
method
sagemaker-core.src.sagemaker.core.remote_function.core.serialization.CloudpickleSerializer.serialize(obj:Any) -> bytesSerializes data object and uploads it to S3.
class
sagemaker-core.src.sagemaker.core.remote_function.job.LogStatePlaceholder docstring
class
sagemaker-core.src.sagemaker.core.remote_function.spark_config.SparkConfigUtilsUtil class for spark configurations
class
sagemaker-core.src.sagemaker.core.serializers.base.JSONSerializerSerialize data to a JSON formatted string.
class
sagemaker-core.src.sagemaker.core.serializers.base.SimpleBaseSerializerAbstract base class for creation of new serializers.
class
sagemaker-core.src.sagemaker.core.serializers.base.StringSerializerEncode the string to utf-8 bytes.
func
sagemaker-core.src.sagemaker.core.serializers.utils.read_recordio(f)Placeholder Docstring
class
sagemaker-core.src.sagemaker.core.spark.processing.FileTypeEnum of file type
class
sagemaker-core.src.sagemaker.core.spark.processing.SparkConfigUtilsUtil class for spark configurations
class
sagemaker-core.src.sagemaker.core.telemetry.attribution.AttributionEnumeration of known SDK attribution sources.
class
sagemaker-core.src.sagemaker.core.telemetry.constants.FeatureEnumeration of feature names used in telemetry.
class
sagemaker-core.src.sagemaker.core.telemetry.constants.RegionTelemetry: List of all supported AWS regions.
class
sagemaker-core.src.sagemaker.core.telemetry.constants.StatusEnumeration of status values used in telemetry.
class
sagemaker-core.src.sagemaker.core.training.configs.BaseConfigBaseConfig
class
sagemaker-core.src.sagemaker.core.training.configs.CheckpointConfigCheckpointConfig.
class
sagemaker-core.src.sagemaker.core.training.configs.ComputeCompute.
class
sagemaker-core.src.sagemaker.core.training.configs.HyperPodComputeHyperPodCompute.
class
sagemaker-core.src.sagemaker.core.training.configs.InputDataInputData.
class
sagemaker-core.src.sagemaker.core.training.configs.NetworkingNetworking.
class
sagemaker-core.src.sagemaker.core.training.configs.OutputDataConfigOutputDataConfig.
class
sagemaker-core.src.sagemaker.core.training.configs.SourceCodeSourceCode.
class
sagemaker-core.src.sagemaker.core.training.configs.TensorBoardOutputConfigTensorBoardOutputConfig.
class
sagemaker-core.src.sagemaker.core.training.constants.TrainingPlatformStandardized training platform identifiers.
method
sagemaker-core.src.sagemaker.core.transformer.Transformer.wait(logs=True)Placeholder docstring
class
sagemaker-core.src.sagemaker.core.utilities.cache.LRUCache.ElementClass describes the values in the cache.
method
sagemaker-core.src.sagemaker.core.utilities.cache.LRUCache.clear() -> NoneDeletes all elements from the cache.
method
sagemaker-core.src.sagemaker.core.utilities.cache.LRUCache.put(key:KeyType, value:Optional[ValType]=None) -> NoneAdds key to cache using ``retrieval_function``.
class
sagemaker-core.src.sagemaker.core.utilities.search_expression.BooleanOperatorBoolean search operation enum
class
sagemaker-core.src.sagemaker.core.utilities.search_expression.OperatorSearch operators
class
sagemaker-core.src.sagemaker.core.utilities.search_expression.SearchObjectSearch Object
class
sagemaker-core.src.sagemaker.core.utils.exceptions.FailedStatusErrorRaised when a resource enters a failed state.
class
sagemaker-core.src.sagemaker.core.utils.exceptions.SageMakerCoreErrorBase class for all exceptions in SageMaker Core
class
sagemaker-core.src.sagemaker.core.utils.exceptions.TimeoutExceededErrorRaised when a specified timeout is exceeded
class
sagemaker-core.src.sagemaker.core.utils.exceptions.ValidationErrorRaised when a validation error occurs.
class
sagemaker-core.src.sagemaker.core.utils.exceptions.WaiterErrorRaised when an error occurs while waiting.
func
sagemaker-core.src.sagemaker.core.utils.install_requirements.main()CLI entry point.
class
sagemaker-core.src.sagemaker.core.utils.utils.SageMakerClientA singleton class for creating a SageMaker client.
class
sagemaker-core.src.sagemaker.core.utils.utils.SingletonMetaSingleton metaclass.
func
sagemaker-core.src.sagemaker.core.utils.utils.get_textual_rich_logger(name:str, log_level:str='INFO') -> logging.LoggerGet a logger with textual rich handler.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionAbstract Condition entity.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionEqualsA condition for equality comparisons.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionGreaterThanA condition for greater than comparisons.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionInA condition to check membership.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionLessThanA condition for less than comparisons.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionNotA condition for negating another `Condition`.
class
sagemaker-core.src.sagemaker.core.workflow.conditions.ConditionTypeEnumCondition type enum.
class
sagemaker-core.src.sagemaker.core.workflow.entities.EntityBase object for workflow entities.
class
sagemaker-core.src.sagemaker.core.workflow.execution_variables.ExecutionVariablePipeline execution variables for workflow.
class
sagemaker-core.src.sagemaker.core.workflow.functions.JoinJoin together properties.
class
sagemaker-core.src.sagemaker.core.workflow.parameters.ParameterPipeline parameter for workflow.
class
sagemaker-core.src.sagemaker.core.workflow.parameters.ParameterFloatFloat parameter for pipelines.
class
sagemaker-core.src.sagemaker.core.workflow.parameters.ParameterIntegerInteger parameter for pipelines.
class
sagemaker-core.src.sagemaker.core.workflow.parameters.ParameterStringString parameter for pipelines.
class
sagemaker-core.src.sagemaker.core.workflow.parameters.ParameterTypeEnumParameter type enum.
class
sagemaker-core.src.sagemaker.core.workflow.properties.PropertiesProperties for use in workflow expressions.
class
sagemaker-core.src.sagemaker.core.workflow.properties.PropertiesListPropertiesList for use in workflow expressions.
class
sagemaker-core.src.sagemaker.core.workflow.properties.PropertiesMapPropertiesMap for use in workflow expressions.
class
sagemaker-core.src.sagemaker.core.workflow.properties.PropertyFileProvides a property file struct.
method
sagemaker-core.src.sagemaker.core.workflow.properties.PropertyFile.expr() -> Dict[str, str]The expression dict for a `PropertyFile`.
func
sagemaker-core.src.sagemaker.core.workflow.utilities.hash_file(path:str) -> strGet the SHA256 hash of a file.
func
sagemaker-core.src.sagemaker.core.workflow.utilities.hash_object(obj) -> strGet the SHA256 hash of an object.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.dataset_builder.DatasetBuilderDatasetBuilder definition.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_definition.CollectionTypeEnumCollection types: List, Set, or Vector.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_definition.ListCollectionTypeList collection type.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_definition.SetCollectionTypeSet collection type.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_definition.VectorCollectionTypeVector collection type with dimension.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._enums.FeatureProcessorModeEnum of feature_processor modes.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._udf_arg_provider.SparkArgProviderProvides arguments to Spark UDFs.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._validation.BaseDataSourceValidatorAn Validator for BaseDataSource.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._validation.InputOffsetValidatorAn Validator for input offset.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._validation.ValidatorBase class for all validators.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_processor._validation.ValidatorChainExecutes a series of validators.
func
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_utils.get_query_execution(session:Session, query_execution_id:str) -> Dict[str, Any]Get execution status of an Athena query.
func
sagemaker-mlops.src.sagemaker.mlops.feature_store.feature_utils.upload_dataframe_to_s3(data_frame:DataFrame, output_path:str, session:Session, kms_key:str=None) -> tuple[str, str]Upload DataFrame to S3 as CSV.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.DeletionModeEnumDeletion modes for delete_record.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.ExpirationTimeResponseEnumExpiresAt response toggle.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.FilterOperatorEnumFilter operators.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.OnlineStoreStorageTypeEnumStorage types for online store.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.ResourceEnumResource types for search.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.SearchOperatorEnumSearch operators.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.SortOrderEnumSort orders.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.TableFormatEnumOffline store table formats.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.TargetStoreEnumStore types for put_record.
class
sagemaker-mlops.src.sagemaker.mlops.feature_store.inputs.ThroughputModeEnumThroughput modes for feature group.
class
sagemaker-mlops.src.sagemaker.mlops.workflow._steps_compiler.CompiledStepA compiled step.
class
sagemaker-mlops.src.sagemaker.mlops.workflow._steps_compiler.StepsCompilerClass used to compile steps.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.callback_step.CallbackOutputOutput for a callback step.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.callback_step.CallbackOutputTypeEnumCallbackOutput type enum.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.callback_step.CallbackStepCallback step for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.clarify_check_step.ClarifyCheckStepClarifyCheckStep step for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.emr_serverless_step.EMRServerlessJobConfigConfig for EMR Serverless job.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.emr_step.EMRStepEMR step for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.emr_step.EMRStepConfigConfig for a Hadoop Jar step.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.fail_step.FailStep`FailStep` for SageMaker Pipelines Workflows.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.lambda_step.LambdaOutputOutput for a lambdaback step.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.lambda_step.LambdaOutputTypeEnumLambdaOutput type enum.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.lambda_step.LambdaStepLambda step for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.model_step.ModelStep`ModelStep` for SageMaker Pipelines Workflows.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.PipelinePipeline for workflow.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.Pipeline.describe(pipeline_version_id:int=None) -> Dict[str, Any]Describes a Pipeline in the Workflow service.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.Pipeline.list_executions(sort_by:str=None, sort_order:str=None, max_results:int=None, next_token:str=None) -> Dict[str, Any]Lists a pipeline's executions.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.Pipeline.list_pipeline_versions(sort_order:str=None, max_results:int=None, next_token:str=None) -> strLists a pipeline's versions.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.Pipeline.update(role_arn:str=None, description:str=None, parallelism_config:ParallelismConfiguration=None) -> Dict[str, Any]Updates a Pipeline in the Workflow service.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.pipeline.PipelineExecutionEncapsulates a pipeline execution instance.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.quality_check_step.DataQualityCheckConfigData Quality Check Config.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.quality_check_step.ModelQualityCheckConfigModel Quality Check Config.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.quality_check_step.QualityCheckConfigQuality Check Config.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.quality_check_step.QualityCheckStepQualityCheck step for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.retry.SageMakerJobExceptionTypeEnumSageMaker Job ExceptionType enum.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.retry.StepExceptionTypeEnumStep ExceptionType enum.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.retry.StepRetryPolicyRetryPolicy for a retryable step.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.step_collections.StepCollectionA wrapper of pipeline steps for workflow.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.steps.StepPipeline `Step` for SageMaker Pipelines Workflows.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.steps.Step.step_only_arguments() -> RequestTypeThe arguments to this Step only.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.steps.StepTypeEnumEnum of `Step` types.
class
sagemaker-mlops.src.sagemaker.mlops.workflow.steps.TuningStep`TuningStep` for SageMaker Pipelines Workflows.
method
sagemaker-mlops.src.sagemaker.mlops.workflow.triggers.Trigger.resolve_trigger_name(pipeline_name:str) -> strResolve the schedule name given a parent pipeline.
class
sagemaker-serve.src.sagemaker.serve.ai_inference_recommender.secrets.SecretA handle to a Secrets Manager secret.
method
sagemaker-serve.src.sagemaker.serve.ai_inference_recommender.workload.Workload.sonnet(**kwargs:Any) -> 'Workload'Alias for :meth:`synthetic`.
class
sagemaker-serve.src.sagemaker.serve.configs.ComputeCompute configuration for model deployment.
class
sagemaker-serve.src.sagemaker.serve.configs.NetworkNetwork configuration for model deployment.
func
sagemaker-serve.src.sagemaker.serve.detector.dependency_manager.capture_dependencies(dependencies:dict, work_dir:Path, capture_all:bool=False)Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.get_all_files_for_installed_packages(packages:List[str])Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.get_all_files_for_installed_packages_pip(packages:List[str])Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.get_all_installed_packages()Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.get_all_requirements(dest:Path)Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.get_requirements_for_pkl_file(pkl_path:Path, dest:Path)Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickle_dependencies.map_package_names_to_files(package_names:List[str])Placeholder docstring
func
sagemaker-serve.src.sagemaker.serve.detector.pickler.save_sklearn(model_path:str, model:object) -> NoneSave sklearn model using joblib serialization.
method
sagemaker-serve.src.sagemaker.serve.local_resources.LocalEndpoint.endpoint_status() -> strGet endpoint status.
method
sagemaker-serve.src.sagemaker.serve.local_resources.LocalEndpoint.get(endpoint_name:str, local_session=None) -> Optional['LocalEndpoint']Get existing local endpoint.
method
sagemaker-serve.src.sagemaker.serve.local_resources.LocalEndpoint.refresh() -> 'LocalEndpoint'Refresh endpoint state.
method
sagemaker-serve.src.sagemaker.serve.local_resources.LocalEndpoint.update(endpoint_config_name:str) -> NoneUpdate endpoint configuration.
class
sagemaker-serve.src.sagemaker.serve.mode.function_pointers.ModePlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.djl_serving.server.LocalDJLServingPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.djl_serving.server.SageMakerDjlServingPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.in_process_model_server.in_process_server.InProcessServingIn Process Mode server instance
class
sagemaker-serve.src.sagemaker.serve.model_server.multi_model_server.server.LocalMultiModelServerLocal Multi Model server instance
class
sagemaker-serve.src.sagemaker.serve.model_server.smd.server.SageMakerSmdServerPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.tei.server.LocalTeiServingLocalTeiServing class
class
sagemaker-serve.src.sagemaker.serve.model_server.tei.server.SageMakerTeiServingSageMakerTeiServing class
func
sagemaker-serve.src.sagemaker.serve.model_server.tensorflow_serving.prepare.prepare_for_tf_serving(model_path:str, shared_libs:List[str], dependencies:Dict[str, Any]) -> strPrepares the model for serving.
class
sagemaker-serve.src.sagemaker.serve.model_server.tensorflow_serving.server.LocalTensorflowServingLocalTensorflowServing class.
class
sagemaker-serve.src.sagemaker.serve.model_server.tensorflow_serving.server.SageMakerTensorflowServingSageMakerTensorflowServing class.
class
sagemaker-serve.src.sagemaker.serve.model_server.tgi.server.LocalTgiServingPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.tgi.server.SageMakerTgiServingPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.torchserve.server.LocalTorchServePlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.torchserve.server.SageMakerTorchServePlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.triton.model.TritonPythonModelA class for Triton Python Backend
method
sagemaker-serve.src.sagemaker.serve.model_server.triton.model.TritonPythonModel.initialize(args:dict) -> NonePlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.triton.server.LocalTritonServerPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.model_server.triton.server.SageMakerTritonServerPlaceholder docstring
class
sagemaker-serve.src.sagemaker.serve.serverless.model.LambdaModelA model that can be deployed to Lambda.
func
sagemaker-serve.src.sagemaker.serve.utils.task.retrieve_local_schemas(task:str) -> Tuple[Any, Any]Retrieves task sample inputs and outputs locally.
class
sagemaker-serve.src.sagemaker.serve.utils.types.HardwareTypeAn enum for hardware type
class
sagemaker-serve.src.sagemaker.serve.utils.types.ImageUriOptionEnum type for image uri options
class
sagemaker-serve.src.sagemaker.serve.utils.types.ModelHubEnum type for model hub source
class
sagemaker-serve.src.sagemaker.serve.utils.types.ModelServerAn enum for model server
func
sagemaker-serve.src.sagemaker.serve.utils.uploader.upload(sagemaker_session:Session, model_dir:str, bucket:str, key_prefix:str) -> strWrapper function of method upload
func
sagemaker-serve.src.sagemaker.serve.validations.check_image_and_hardware_type.detect_hardware_type_of_instance(instance_type:str) -> HardwareTypePlaceholder docstring
func
sagemaker-serve.src.sagemaker.serve.validations.check_image_and_hardware_type.detect_torchserve_image_hardware_type(image_uri:str) -> HardwareTypePlaceholder docstring
func
sagemaker-serve.src.sagemaker.serve.validations.check_image_and_hardware_type.detect_triton_image_hardware_type(image_uri:str) -> HardwareTypePlaceholder docstring
func
sagemaker-serve.src.sagemaker.serve.validations.check_integrity.compute_hash(buffer:bytes) -> strCompute SHA-256 hash of the given buffer.
class
sagemaker-train.src.sagemaker.ai_registry.air_constants.HubContentStatusHubContent status enum.
class
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntityBase entity for AI Registry Hub content.
method
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntity.delete(version:Optional[str]=None) -> boolDelete this entity instance.
method
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntity.delete_by_name(name:str, version:Optional[str]=None) -> boolDelete entity by name and version.
method
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntity.get_versions() -> ListList all versions of this entity.
method
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntity.list(max_results:Optional[int]=None, next_token:Optional[str]=None) -> ListList all entities of this type.
method
sagemaker-train.src.sagemaker.ai_registry.air_hub_entity.AIRHubEntity.refresh() -> NoneRefresh entity status from hub content.
class
sagemaker-train.src.sagemaker.ai_registry.dataset.DataSetDataset entity for AI Registry.
method
sagemaker-train.src.sagemaker.ai_registry.dataset.DataSet.create_version(source:str, customization_technique:Optional[CustomizationTechnique]=None) -> boolCreate a new version of this dataset.
method
sagemaker-train.src.sagemaker.ai_registry.dataset.DataSet.get(name:str, sagemaker_session=None) -> 'DataSet'Get dataset by name.
method
sagemaker-train.src.sagemaker.ai_registry.dataset.DataSet.get_versions() -> List['DataSet']List all versions of this dataset.
method
sagemaker-train.src.sagemaker.ai_registry.dataset.DataSet.split(source:str, train_split_ratio:float=0.8) -> Tuple['DataSet', 'DataSet']Split dataset into train and validation sets.
class
sagemaker-train.src.sagemaker.ai_registry.dataset_utils.CustomizationTechniqueCustomization technique for dataset.
class
sagemaker-train.src.sagemaker.ai_registry.dataset_utils.DataSetHubContentDocumentHub content document for dataset.
method
sagemaker-train.src.sagemaker.ai_registry.dataset_utils.DataSetHubContentDocument.to_json() -> strConvert to JSON string.
class
sagemaker-train.src.sagemaker.ai_registry.dataset_utils.DataSetMethodEnum for DataSet method types.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.detect_dataset_type(record:Dict[str, Any]) -> Optional[str]Auto-detect dataset type from record format.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.load_jsonl(path:str) -> List[Dict[str, Any]]Load JSONL file and return list of dictionaries.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.normalize_rlvr_row(record:Dict[str, Any]) -> Dict[str, Any]Converts a row into the standard RLVR format.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.validate_dpo(rows:Iterable[Dict[str, Any]]) -> NoneValidate DPO dataset format.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.validate_rlvr(rows:Iterable[Dict[str, Any]]) -> NoneValidate RLVR dataset format.
func
sagemaker-train.src.sagemaker.ai_registry.dataset_validation.validate_sft(rows:Iterable[Dict[str, Any]]) -> NoneValidate SFT dataset format.
class
sagemaker-train.src.sagemaker.ai_registry.evaluator.EvaluatorEvaluator entity for AI Registry.
method
sagemaker-train.src.sagemaker.ai_registry.evaluator.Evaluator.create_version(source:str) -> boolCreate a new version of this evaluator.
method
sagemaker-train.src.sagemaker.ai_registry.evaluator.Evaluator.get(name:str, sagemaker_session=None) -> 'Evaluator'Get evaluator by name.
method
sagemaker-train.src.sagemaker.ai_registry.evaluator.Evaluator.get_versions() -> List['Evaluator']List all versions of this evaluator.
class
sagemaker-train.src.sagemaker.ai_registry.evaluator.EvaluatorMethodEnum for Evaluator method types.
func
sagemaker-train.src.sagemaker.ai_registry.utils.base32_encode(data:bytes, padding:bool=True) -> strEncode bytes using RFC4648 base32 hex alphabet.
class
sagemaker-train.src.sagemaker.train.aws_batch.exception.MissingRequiredArgumentDefine MissingRequiredArgument exception.
class
sagemaker-train.src.sagemaker.train.aws_batch.exception.NoTrainingJobDefine NoTrainingJob Exception.
class
sagemaker-train.src.sagemaker.train.common.CustomizationTechniqueCustomization techniques for fine-tuning.
class
sagemaker-train.src.sagemaker.train.common.TrainingTypeTraining types for fine-tuning.
この情報について
掲載しているシグネチャは aws/sagemaker-python-sdk の公開ソースコードを
Python の ast モジュールで静的解析し、引数名・デフォルト値・
型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。
詳しくは仕組みの解説をご覧ください。