sagemaker-python-sdk API reference
400 public APIs from sagemaker-python-sdk (aws/sagemaker-python-sdk) — 270 classes, 49 functions, 81 methods. Signatures extracted by static analysis of the actual source.
Repository: aws/sagemaker-python-sdk
| Kind | Count |
|---|---|
| Classes | 270 |
| Functions | 49 |
| Methods | 81 |
API list
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.
About this data
These signatures were extracted from the public source of aws/sagemaker-python-sdk
using Python's ast module. Argument names, default values,
type annotations and return types are taken verbatim from the code.
Implementation bodies are never stored. See
how it works for details.