Type definitions#
Index > CleanRoomsML > Type definitions
Auto-generated documentation for CleanRoomsML type annotations stubs module types-boto3-cleanroomsml.
TimestampTypeDef#
# TimestampTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import TimestampTypeDef
def get_value() -> TimestampTypeDef:
return ...
# TimestampTypeDef definition
TimestampTypeDef = Union[
datetime,
str,
]AudienceSizeConfigUnionTypeDef#
# AudienceSizeConfigUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import AudienceSizeConfigUnionTypeDef
def get_value() -> AudienceSizeConfigUnionTypeDef:
return ...
# AudienceSizeConfigUnionTypeDef definition
AudienceSizeConfigUnionTypeDef = Union[
AudienceSizeConfigTypeDef, # (1)
AudienceSizeConfigOutputTypeDef, # (2)
]ColumnSchemaUnionTypeDef#
# ColumnSchemaUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import ColumnSchemaUnionTypeDef
def get_value() -> ColumnSchemaUnionTypeDef:
return ...
# ColumnSchemaUnionTypeDef definition
ColumnSchemaUnionTypeDef = Union[
ColumnSchemaTypeDef, # (1)
ColumnSchemaOutputTypeDef, # (2)
]ContainerConfigUnionTypeDef#
# ContainerConfigUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import ContainerConfigUnionTypeDef
def get_value() -> ContainerConfigUnionTypeDef:
return ...
# ContainerConfigUnionTypeDef definition
ContainerConfigUnionTypeDef = Union[
ContainerConfigTypeDef, # (1)
ContainerConfigOutputTypeDef, # (2)
]InferenceOutputConfigurationUnionTypeDef#
# InferenceOutputConfigurationUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import InferenceOutputConfigurationUnionTypeDef
def get_value() -> InferenceOutputConfigurationUnionTypeDef:
return ...
# InferenceOutputConfigurationUnionTypeDef definition
InferenceOutputConfigurationUnionTypeDef = Union[
InferenceOutputConfigurationTypeDef, # (1)
InferenceOutputConfigurationOutputTypeDef, # (2)
]TrainedModelExportOutputConfigurationUnionTypeDef#
# TrainedModelExportOutputConfigurationUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportOutputConfigurationUnionTypeDef
def get_value() -> TrainedModelExportOutputConfigurationUnionTypeDef:
return ...
# TrainedModelExportOutputConfigurationUnionTypeDef definition
TrainedModelExportOutputConfigurationUnionTypeDef = Union[
TrainedModelExportOutputConfigurationTypeDef, # (1)
TrainedModelExportOutputConfigurationOutputTypeDef, # (2)
]- See TrainedModelExportOutputConfigurationTypeDef
- See TrainedModelExportOutputConfigurationOutputTypeDef
AudienceGenerationJobDataSourceUnionTypeDef#
# AudienceGenerationJobDataSourceUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import AudienceGenerationJobDataSourceUnionTypeDef
def get_value() -> AudienceGenerationJobDataSourceUnionTypeDef:
return ...
# AudienceGenerationJobDataSourceUnionTypeDef definition
AudienceGenerationJobDataSourceUnionTypeDef = Union[
AudienceGenerationJobDataSourceTypeDef, # (1)
AudienceGenerationJobDataSourceOutputTypeDef, # (2)
]DatasetInputConfigUnionTypeDef#
# DatasetInputConfigUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import DatasetInputConfigUnionTypeDef
def get_value() -> DatasetInputConfigUnionTypeDef:
return ...
# DatasetInputConfigUnionTypeDef definition
DatasetInputConfigUnionTypeDef = Union[
DatasetInputConfigTypeDef, # (1)
DatasetInputConfigOutputTypeDef, # (2)
]PrivacyConfigurationUnionTypeDef#
# PrivacyConfigurationUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import PrivacyConfigurationUnionTypeDef
def get_value() -> PrivacyConfigurationUnionTypeDef:
return ...
# PrivacyConfigurationUnionTypeDef definition
PrivacyConfigurationUnionTypeDef = Union[
PrivacyConfigurationTypeDef, # (1)
PrivacyConfigurationOutputTypeDef, # (2)
]InputChannelUnionTypeDef#
# InputChannelUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import InputChannelUnionTypeDef
def get_value() -> InputChannelUnionTypeDef:
return ...
# InputChannelUnionTypeDef definition
InputChannelUnionTypeDef = Union[
InputChannelTypeDef, # (1)
InputChannelOutputTypeDef, # (2)
]DatasetUnionTypeDef#
# DatasetUnionTypeDef Union usage example
from types_boto3_cleanroomsml.type_defs import DatasetUnionTypeDef
def get_value() -> DatasetUnionTypeDef:
return ...
# DatasetUnionTypeDef definition
DatasetUnionTypeDef = Union[
DatasetTypeDef, # (1)
DatasetOutputTypeDef, # (2)
]- See DatasetTypeDef
- See DatasetOutputTypeDef
S3ConfigMapTypeDef#
# S3ConfigMapTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import S3ConfigMapTypeDef
def get_value() -> S3ConfigMapTypeDef:
return {
"s3Uri": ...,
}
# S3ConfigMapTypeDef definition
class S3ConfigMapTypeDef(TypedDict):
s3Uri: str,AudienceSizeTypeDef#
# AudienceSizeTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceSizeTypeDef
def get_value() -> AudienceSizeTypeDef:
return {
"type": ...,
}
# AudienceSizeTypeDef definition
class AudienceSizeTypeDef(TypedDict):
type: AudienceSizeTypeType, # (1)
value: int,StatusDetailsTypeDef#
# StatusDetailsTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StatusDetailsTypeDef
def get_value() -> StatusDetailsTypeDef:
return {
"statusCode": ...,
}
# StatusDetailsTypeDef definition
class StatusDetailsTypeDef(TypedDict):
statusCode: NotRequired[str],
message: NotRequired[str],ProtectedQuerySQLParametersOutputTypeDef#
# ProtectedQuerySQLParametersOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ProtectedQuerySQLParametersOutputTypeDef
def get_value() -> ProtectedQuerySQLParametersOutputTypeDef:
return {
"queryString": ...,
}
# ProtectedQuerySQLParametersOutputTypeDef definition
class ProtectedQuerySQLParametersOutputTypeDef(TypedDict):
queryString: NotRequired[str],
analysisTemplateArn: NotRequired[str],
parameters: NotRequired[Dict[str, str]],ProtectedQuerySQLParametersTypeDef#
# ProtectedQuerySQLParametersTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ProtectedQuerySQLParametersTypeDef
def get_value() -> ProtectedQuerySQLParametersTypeDef:
return {
"queryString": ...,
}
# ProtectedQuerySQLParametersTypeDef definition
class ProtectedQuerySQLParametersTypeDef(TypedDict):
queryString: NotRequired[str],
analysisTemplateArn: NotRequired[str],
parameters: NotRequired[Mapping[str, str]],AudienceGenerationJobSummaryTypeDef#
# AudienceGenerationJobSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceGenerationJobSummaryTypeDef
def get_value() -> AudienceGenerationJobSummaryTypeDef:
return {
"createTime": ...,
}
# AudienceGenerationJobSummaryTypeDef definition
class AudienceGenerationJobSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
audienceGenerationJobArn: str,
name: str,
status: AudienceGenerationJobStatusType, # (1)
configuredAudienceModelArn: str,
description: NotRequired[str],
collaborationId: NotRequired[str],
startedBy: NotRequired[str],AudienceModelSummaryTypeDef#
# AudienceModelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceModelSummaryTypeDef
def get_value() -> AudienceModelSummaryTypeDef:
return {
"createTime": ...,
}
# AudienceModelSummaryTypeDef definition
class AudienceModelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
audienceModelArn: str,
name: str,
trainingDatasetArn: str,
status: AudienceModelStatusType, # (1)
description: NotRequired[str],AudienceSizeConfigOutputTypeDef#
# AudienceSizeConfigOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceSizeConfigOutputTypeDef
def get_value() -> AudienceSizeConfigOutputTypeDef:
return {
"audienceSizeType": ...,
}
# AudienceSizeConfigOutputTypeDef definition
class AudienceSizeConfigOutputTypeDef(TypedDict):
audienceSizeType: AudienceSizeTypeType, # (1)
audienceSizeBins: List[int],AudienceSizeConfigTypeDef#
# AudienceSizeConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceSizeConfigTypeDef
def get_value() -> AudienceSizeConfigTypeDef:
return {
"audienceSizeType": ...,
}
# AudienceSizeConfigTypeDef definition
class AudienceSizeConfigTypeDef(TypedDict):
audienceSizeType: AudienceSizeTypeType, # (1)
audienceSizeBins: Sequence[int],CancelTrainedModelInferenceJobRequestTypeDef#
# CancelTrainedModelInferenceJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CancelTrainedModelInferenceJobRequestTypeDef
def get_value() -> CancelTrainedModelInferenceJobRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# CancelTrainedModelInferenceJobRequestTypeDef definition
class CancelTrainedModelInferenceJobRequestTypeDef(TypedDict):
membershipIdentifier: str,
trainedModelInferenceJobArn: str,CancelTrainedModelRequestTypeDef#
# CancelTrainedModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CancelTrainedModelRequestTypeDef
def get_value() -> CancelTrainedModelRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# CancelTrainedModelRequestTypeDef definition
class CancelTrainedModelRequestTypeDef(TypedDict):
membershipIdentifier: str,
trainedModelArn: str,CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef#
# CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef
def get_value() -> CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef:
return {
"createTime": ...,
}
# CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef definition
class CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmAssociationArn: str,
name: str,
membershipIdentifier: str,
collaborationIdentifier: str,
configuredModelAlgorithmArn: str,
creatorAccountId: str,
description: NotRequired[str],CollaborationMLInputChannelSummaryTypeDef#
# CollaborationMLInputChannelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CollaborationMLInputChannelSummaryTypeDef
def get_value() -> CollaborationMLInputChannelSummaryTypeDef:
return {
"createTime": ...,
}
# CollaborationMLInputChannelSummaryTypeDef definition
class CollaborationMLInputChannelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
membershipIdentifier: str,
collaborationIdentifier: str,
name: str,
configuredModelAlgorithmAssociations: List[str],
mlInputChannelArn: str,
status: MLInputChannelStatusType, # (1)
creatorAccountId: str,
description: NotRequired[str],CollaborationTrainedModelSummaryTypeDef#
# CollaborationTrainedModelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CollaborationTrainedModelSummaryTypeDef
def get_value() -> CollaborationTrainedModelSummaryTypeDef:
return {
"createTime": ...,
}
# CollaborationTrainedModelSummaryTypeDef definition
class CollaborationTrainedModelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainedModelArn: str,
name: str,
membershipIdentifier: str,
collaborationIdentifier: str,
status: TrainedModelStatusType, # (1)
configuredModelAlgorithmAssociationArn: str,
creatorAccountId: str,
description: NotRequired[str],ColumnSchemaOutputTypeDef#
# ColumnSchemaOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ColumnSchemaOutputTypeDef
def get_value() -> ColumnSchemaOutputTypeDef:
return {
"columnName": ...,
}
# ColumnSchemaOutputTypeDef definition
class ColumnSchemaOutputTypeDef(TypedDict):
columnName: str,
columnTypes: List[ColumnTypeType], # (1)- See ColumnTypeType
ColumnSchemaTypeDef#
# ColumnSchemaTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ColumnSchemaTypeDef
def get_value() -> ColumnSchemaTypeDef:
return {
"columnName": ...,
}
# ColumnSchemaTypeDef definition
class ColumnSchemaTypeDef(TypedDict):
columnName: str,
columnTypes: Sequence[ColumnTypeType], # (1)- See ColumnTypeType
WorkerComputeConfigurationTypeDef#
# WorkerComputeConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import WorkerComputeConfigurationTypeDef
def get_value() -> WorkerComputeConfigurationTypeDef:
return {
"type": ...,
}
# WorkerComputeConfigurationTypeDef definition
class WorkerComputeConfigurationTypeDef(TypedDict):
type: NotRequired[WorkerComputeTypeType], # (1)
number: NotRequired[int],ConfiguredModelAlgorithmAssociationSummaryTypeDef#
# ConfiguredModelAlgorithmAssociationSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ConfiguredModelAlgorithmAssociationSummaryTypeDef
def get_value() -> ConfiguredModelAlgorithmAssociationSummaryTypeDef:
return {
"createTime": ...,
}
# ConfiguredModelAlgorithmAssociationSummaryTypeDef definition
class ConfiguredModelAlgorithmAssociationSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmAssociationArn: str,
configuredModelAlgorithmArn: str,
name: str,
membershipIdentifier: str,
collaborationIdentifier: str,
description: NotRequired[str],ConfiguredModelAlgorithmSummaryTypeDef#
# ConfiguredModelAlgorithmSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ConfiguredModelAlgorithmSummaryTypeDef
def get_value() -> ConfiguredModelAlgorithmSummaryTypeDef:
return {
"createTime": ...,
}
# ConfiguredModelAlgorithmSummaryTypeDef definition
class ConfiguredModelAlgorithmSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmArn: str,
name: str,
description: NotRequired[str],MetricDefinitionTypeDef#
# MetricDefinitionTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import MetricDefinitionTypeDef
def get_value() -> MetricDefinitionTypeDef:
return {
"name": ...,
}
# MetricDefinitionTypeDef definition
class MetricDefinitionTypeDef(TypedDict):
name: str,
regex: str,ResponseMetadataTypeDef#
# ResponseMetadataTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ResponseMetadataTypeDef
def get_value() -> ResponseMetadataTypeDef:
return {
"RequestId": ...,
}
# ResponseMetadataTypeDef definition
class ResponseMetadataTypeDef(TypedDict):
RequestId: str,
HTTPStatusCode: int,
HTTPHeaders: Dict[str, str],
RetryAttempts: int,
HostId: NotRequired[str],InferenceContainerConfigTypeDef#
# InferenceContainerConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceContainerConfigTypeDef
def get_value() -> InferenceContainerConfigTypeDef:
return {
"imageUri": ...,
}
# InferenceContainerConfigTypeDef definition
class InferenceContainerConfigTypeDef(TypedDict):
imageUri: str,ModelTrainingDataChannelTypeDef#
# ModelTrainingDataChannelTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ModelTrainingDataChannelTypeDef
def get_value() -> ModelTrainingDataChannelTypeDef:
return {
"mlInputChannelArn": ...,
}
# ModelTrainingDataChannelTypeDef definition
class ModelTrainingDataChannelTypeDef(TypedDict):
mlInputChannelArn: str,
channelName: str,ResourceConfigTypeDef#
# ResourceConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ResourceConfigTypeDef
def get_value() -> ResourceConfigTypeDef:
return {
"instanceCount": ...,
}
# ResourceConfigTypeDef definition
class ResourceConfigTypeDef(TypedDict):
instanceType: InstanceTypeType, # (1)
volumeSizeInGB: int,
instanceCount: NotRequired[int],- See InstanceTypeType
StoppingConditionTypeDef#
# StoppingConditionTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StoppingConditionTypeDef
def get_value() -> StoppingConditionTypeDef:
return {
"maxRuntimeInSeconds": ...,
}
# StoppingConditionTypeDef definition
class StoppingConditionTypeDef(TypedDict):
maxRuntimeInSeconds: NotRequired[int],GlueDataSourceTypeDef#
# GlueDataSourceTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GlueDataSourceTypeDef
def get_value() -> GlueDataSourceTypeDef:
return {
"tableName": ...,
}
# GlueDataSourceTypeDef definition
class GlueDataSourceTypeDef(TypedDict):
tableName: str,
databaseName: str,
catalogId: NotRequired[str],DeleteAudienceGenerationJobRequestTypeDef#
# DeleteAudienceGenerationJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteAudienceGenerationJobRequestTypeDef
def get_value() -> DeleteAudienceGenerationJobRequestTypeDef:
return {
"audienceGenerationJobArn": ...,
}
# DeleteAudienceGenerationJobRequestTypeDef definition
class DeleteAudienceGenerationJobRequestTypeDef(TypedDict):
audienceGenerationJobArn: str,DeleteAudienceModelRequestTypeDef#
# DeleteAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteAudienceModelRequestTypeDef
def get_value() -> DeleteAudienceModelRequestTypeDef:
return {
"audienceModelArn": ...,
}
# DeleteAudienceModelRequestTypeDef definition
class DeleteAudienceModelRequestTypeDef(TypedDict):
audienceModelArn: str,DeleteConfiguredAudienceModelPolicyRequestTypeDef#
# DeleteConfiguredAudienceModelPolicyRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteConfiguredAudienceModelPolicyRequestTypeDef
def get_value() -> DeleteConfiguredAudienceModelPolicyRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# DeleteConfiguredAudienceModelPolicyRequestTypeDef definition
class DeleteConfiguredAudienceModelPolicyRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,DeleteConfiguredAudienceModelRequestTypeDef#
# DeleteConfiguredAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteConfiguredAudienceModelRequestTypeDef
def get_value() -> DeleteConfiguredAudienceModelRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# DeleteConfiguredAudienceModelRequestTypeDef definition
class DeleteConfiguredAudienceModelRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,DeleteConfiguredModelAlgorithmAssociationRequestTypeDef#
# DeleteConfiguredModelAlgorithmAssociationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteConfiguredModelAlgorithmAssociationRequestTypeDef
def get_value() -> DeleteConfiguredModelAlgorithmAssociationRequestTypeDef:
return {
"configuredModelAlgorithmAssociationArn": ...,
}
# DeleteConfiguredModelAlgorithmAssociationRequestTypeDef definition
class DeleteConfiguredModelAlgorithmAssociationRequestTypeDef(TypedDict):
configuredModelAlgorithmAssociationArn: str,
membershipIdentifier: str,DeleteConfiguredModelAlgorithmRequestTypeDef#
# DeleteConfiguredModelAlgorithmRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteConfiguredModelAlgorithmRequestTypeDef
def get_value() -> DeleteConfiguredModelAlgorithmRequestTypeDef:
return {
"configuredModelAlgorithmArn": ...,
}
# DeleteConfiguredModelAlgorithmRequestTypeDef definition
class DeleteConfiguredModelAlgorithmRequestTypeDef(TypedDict):
configuredModelAlgorithmArn: str,DeleteMLConfigurationRequestTypeDef#
# DeleteMLConfigurationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteMLConfigurationRequestTypeDef
def get_value() -> DeleteMLConfigurationRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# DeleteMLConfigurationRequestTypeDef definition
class DeleteMLConfigurationRequestTypeDef(TypedDict):
membershipIdentifier: str,DeleteMLInputChannelDataRequestTypeDef#
# DeleteMLInputChannelDataRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteMLInputChannelDataRequestTypeDef
def get_value() -> DeleteMLInputChannelDataRequestTypeDef:
return {
"mlInputChannelArn": ...,
}
# DeleteMLInputChannelDataRequestTypeDef definition
class DeleteMLInputChannelDataRequestTypeDef(TypedDict):
mlInputChannelArn: str,
membershipIdentifier: str,DeleteTrainedModelOutputRequestTypeDef#
# DeleteTrainedModelOutputRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteTrainedModelOutputRequestTypeDef
def get_value() -> DeleteTrainedModelOutputRequestTypeDef:
return {
"trainedModelArn": ...,
}
# DeleteTrainedModelOutputRequestTypeDef definition
class DeleteTrainedModelOutputRequestTypeDef(TypedDict):
trainedModelArn: str,
membershipIdentifier: str,DeleteTrainingDatasetRequestTypeDef#
# DeleteTrainingDatasetRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DeleteTrainingDatasetRequestTypeDef
def get_value() -> DeleteTrainingDatasetRequestTypeDef:
return {
"trainingDatasetArn": ...,
}
# DeleteTrainingDatasetRequestTypeDef definition
class DeleteTrainingDatasetRequestTypeDef(TypedDict):
trainingDatasetArn: str,GetAudienceGenerationJobRequestTypeDef#
# GetAudienceGenerationJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetAudienceGenerationJobRequestTypeDef
def get_value() -> GetAudienceGenerationJobRequestTypeDef:
return {
"audienceGenerationJobArn": ...,
}
# GetAudienceGenerationJobRequestTypeDef definition
class GetAudienceGenerationJobRequestTypeDef(TypedDict):
audienceGenerationJobArn: str,GetAudienceModelRequestTypeDef#
# GetAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetAudienceModelRequestTypeDef
def get_value() -> GetAudienceModelRequestTypeDef:
return {
"audienceModelArn": ...,
}
# GetAudienceModelRequestTypeDef definition
class GetAudienceModelRequestTypeDef(TypedDict):
audienceModelArn: str,GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef#
# GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef
def get_value() -> GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef:
return {
"configuredModelAlgorithmAssociationArn": ...,
}
# GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef definition
class GetCollaborationConfiguredModelAlgorithmAssociationRequestTypeDef(TypedDict):
configuredModelAlgorithmAssociationArn: str,
collaborationIdentifier: str,GetCollaborationMLInputChannelRequestTypeDef#
# GetCollaborationMLInputChannelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationMLInputChannelRequestTypeDef
def get_value() -> GetCollaborationMLInputChannelRequestTypeDef:
return {
"mlInputChannelArn": ...,
}
# GetCollaborationMLInputChannelRequestTypeDef definition
class GetCollaborationMLInputChannelRequestTypeDef(TypedDict):
mlInputChannelArn: str,
collaborationIdentifier: str,GetCollaborationTrainedModelRequestTypeDef#
# GetCollaborationTrainedModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationTrainedModelRequestTypeDef
def get_value() -> GetCollaborationTrainedModelRequestTypeDef:
return {
"trainedModelArn": ...,
}
# GetCollaborationTrainedModelRequestTypeDef definition
class GetCollaborationTrainedModelRequestTypeDef(TypedDict):
trainedModelArn: str,
collaborationIdentifier: str,GetConfiguredAudienceModelPolicyRequestTypeDef#
# GetConfiguredAudienceModelPolicyRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredAudienceModelPolicyRequestTypeDef
def get_value() -> GetConfiguredAudienceModelPolicyRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# GetConfiguredAudienceModelPolicyRequestTypeDef definition
class GetConfiguredAudienceModelPolicyRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,GetConfiguredAudienceModelRequestTypeDef#
# GetConfiguredAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredAudienceModelRequestTypeDef
def get_value() -> GetConfiguredAudienceModelRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# GetConfiguredAudienceModelRequestTypeDef definition
class GetConfiguredAudienceModelRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,GetConfiguredModelAlgorithmAssociationRequestTypeDef#
# GetConfiguredModelAlgorithmAssociationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredModelAlgorithmAssociationRequestTypeDef
def get_value() -> GetConfiguredModelAlgorithmAssociationRequestTypeDef:
return {
"configuredModelAlgorithmAssociationArn": ...,
}
# GetConfiguredModelAlgorithmAssociationRequestTypeDef definition
class GetConfiguredModelAlgorithmAssociationRequestTypeDef(TypedDict):
configuredModelAlgorithmAssociationArn: str,
membershipIdentifier: str,GetConfiguredModelAlgorithmRequestTypeDef#
# GetConfiguredModelAlgorithmRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredModelAlgorithmRequestTypeDef
def get_value() -> GetConfiguredModelAlgorithmRequestTypeDef:
return {
"configuredModelAlgorithmArn": ...,
}
# GetConfiguredModelAlgorithmRequestTypeDef definition
class GetConfiguredModelAlgorithmRequestTypeDef(TypedDict):
configuredModelAlgorithmArn: str,GetMLConfigurationRequestTypeDef#
# GetMLConfigurationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetMLConfigurationRequestTypeDef
def get_value() -> GetMLConfigurationRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# GetMLConfigurationRequestTypeDef definition
class GetMLConfigurationRequestTypeDef(TypedDict):
membershipIdentifier: str,GetMLInputChannelRequestTypeDef#
# GetMLInputChannelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetMLInputChannelRequestTypeDef
def get_value() -> GetMLInputChannelRequestTypeDef:
return {
"mlInputChannelArn": ...,
}
# GetMLInputChannelRequestTypeDef definition
class GetMLInputChannelRequestTypeDef(TypedDict):
mlInputChannelArn: str,
membershipIdentifier: str,GetTrainedModelInferenceJobRequestTypeDef#
# GetTrainedModelInferenceJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainedModelInferenceJobRequestTypeDef
def get_value() -> GetTrainedModelInferenceJobRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# GetTrainedModelInferenceJobRequestTypeDef definition
class GetTrainedModelInferenceJobRequestTypeDef(TypedDict):
membershipIdentifier: str,
trainedModelInferenceJobArn: str,InferenceContainerExecutionParametersTypeDef#
# InferenceContainerExecutionParametersTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceContainerExecutionParametersTypeDef
def get_value() -> InferenceContainerExecutionParametersTypeDef:
return {
"maxPayloadInMB": ...,
}
# InferenceContainerExecutionParametersTypeDef definition
class InferenceContainerExecutionParametersTypeDef(TypedDict):
maxPayloadInMB: NotRequired[int],InferenceResourceConfigTypeDef#
# InferenceResourceConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceResourceConfigTypeDef
def get_value() -> InferenceResourceConfigTypeDef:
return {
"instanceType": ...,
}
# InferenceResourceConfigTypeDef definition
class InferenceResourceConfigTypeDef(TypedDict):
instanceType: InferenceInstanceTypeType, # (1)
instanceCount: NotRequired[int],ModelInferenceDataSourceTypeDef#
# ModelInferenceDataSourceTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ModelInferenceDataSourceTypeDef
def get_value() -> ModelInferenceDataSourceTypeDef:
return {
"mlInputChannelArn": ...,
}
# ModelInferenceDataSourceTypeDef definition
class ModelInferenceDataSourceTypeDef(TypedDict):
mlInputChannelArn: str,GetTrainedModelRequestTypeDef#
# GetTrainedModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainedModelRequestTypeDef
def get_value() -> GetTrainedModelRequestTypeDef:
return {
"trainedModelArn": ...,
}
# GetTrainedModelRequestTypeDef definition
class GetTrainedModelRequestTypeDef(TypedDict):
trainedModelArn: str,
membershipIdentifier: str,GetTrainingDatasetRequestTypeDef#
# GetTrainingDatasetRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainingDatasetRequestTypeDef
def get_value() -> GetTrainingDatasetRequestTypeDef:
return {
"trainingDatasetArn": ...,
}
# GetTrainingDatasetRequestTypeDef definition
class GetTrainingDatasetRequestTypeDef(TypedDict):
trainingDatasetArn: str,InferenceReceiverMemberTypeDef#
# InferenceReceiverMemberTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceReceiverMemberTypeDef
def get_value() -> InferenceReceiverMemberTypeDef:
return {
"accountId": ...,
}
# InferenceReceiverMemberTypeDef definition
class InferenceReceiverMemberTypeDef(TypedDict):
accountId: str,PaginatorConfigTypeDef#
# PaginatorConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PaginatorConfigTypeDef
def get_value() -> PaginatorConfigTypeDef:
return {
"MaxItems": ...,
}
# PaginatorConfigTypeDef definition
class PaginatorConfigTypeDef(TypedDict):
MaxItems: NotRequired[int],
PageSize: NotRequired[int],
StartingToken: NotRequired[str],ListAudienceExportJobsRequestTypeDef#
# ListAudienceExportJobsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceExportJobsRequestTypeDef
def get_value() -> ListAudienceExportJobsRequestTypeDef:
return {
"nextToken": ...,
}
# ListAudienceExportJobsRequestTypeDef definition
class ListAudienceExportJobsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],
audienceGenerationJobArn: NotRequired[str],ListAudienceGenerationJobsRequestTypeDef#
# ListAudienceGenerationJobsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceGenerationJobsRequestTypeDef
def get_value() -> ListAudienceGenerationJobsRequestTypeDef:
return {
"nextToken": ...,
}
# ListAudienceGenerationJobsRequestTypeDef definition
class ListAudienceGenerationJobsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],
configuredAudienceModelArn: NotRequired[str],
collaborationId: NotRequired[str],ListAudienceModelsRequestTypeDef#
# ListAudienceModelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceModelsRequestTypeDef
def get_value() -> ListAudienceModelsRequestTypeDef:
return {
"nextToken": ...,
}
# ListAudienceModelsRequestTypeDef definition
class ListAudienceModelsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef#
# ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef
def get_value() -> ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef definition
class ListCollaborationConfiguredModelAlgorithmAssociationsRequestTypeDef(TypedDict):
collaborationIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListCollaborationMLInputChannelsRequestTypeDef#
# ListCollaborationMLInputChannelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationMLInputChannelsRequestTypeDef
def get_value() -> ListCollaborationMLInputChannelsRequestTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationMLInputChannelsRequestTypeDef definition
class ListCollaborationMLInputChannelsRequestTypeDef(TypedDict):
collaborationIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListCollaborationTrainedModelExportJobsRequestTypeDef#
# ListCollaborationTrainedModelExportJobsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelExportJobsRequestTypeDef
def get_value() -> ListCollaborationTrainedModelExportJobsRequestTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelExportJobsRequestTypeDef definition
class ListCollaborationTrainedModelExportJobsRequestTypeDef(TypedDict):
collaborationIdentifier: str,
trainedModelArn: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListCollaborationTrainedModelInferenceJobsRequestTypeDef#
# ListCollaborationTrainedModelInferenceJobsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelInferenceJobsRequestTypeDef
def get_value() -> ListCollaborationTrainedModelInferenceJobsRequestTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelInferenceJobsRequestTypeDef definition
class ListCollaborationTrainedModelInferenceJobsRequestTypeDef(TypedDict):
collaborationIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],
trainedModelArn: NotRequired[str],ListCollaborationTrainedModelsRequestTypeDef#
# ListCollaborationTrainedModelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelsRequestTypeDef
def get_value() -> ListCollaborationTrainedModelsRequestTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelsRequestTypeDef definition
class ListCollaborationTrainedModelsRequestTypeDef(TypedDict):
collaborationIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListConfiguredAudienceModelsRequestTypeDef#
# ListConfiguredAudienceModelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredAudienceModelsRequestTypeDef
def get_value() -> ListConfiguredAudienceModelsRequestTypeDef:
return {
"nextToken": ...,
}
# ListConfiguredAudienceModelsRequestTypeDef definition
class ListConfiguredAudienceModelsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListConfiguredModelAlgorithmAssociationsRequestTypeDef#
# ListConfiguredModelAlgorithmAssociationsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmAssociationsRequestTypeDef
def get_value() -> ListConfiguredModelAlgorithmAssociationsRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# ListConfiguredModelAlgorithmAssociationsRequestTypeDef definition
class ListConfiguredModelAlgorithmAssociationsRequestTypeDef(TypedDict):
membershipIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListConfiguredModelAlgorithmsRequestTypeDef#
# ListConfiguredModelAlgorithmsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmsRequestTypeDef
def get_value() -> ListConfiguredModelAlgorithmsRequestTypeDef:
return {
"nextToken": ...,
}
# ListConfiguredModelAlgorithmsRequestTypeDef definition
class ListConfiguredModelAlgorithmsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],ListMLInputChannelsRequestTypeDef#
# ListMLInputChannelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListMLInputChannelsRequestTypeDef
def get_value() -> ListMLInputChannelsRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# ListMLInputChannelsRequestTypeDef definition
class ListMLInputChannelsRequestTypeDef(TypedDict):
membershipIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],MLInputChannelSummaryTypeDef#
# MLInputChannelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import MLInputChannelSummaryTypeDef
def get_value() -> MLInputChannelSummaryTypeDef:
return {
"createTime": ...,
}
# MLInputChannelSummaryTypeDef definition
class MLInputChannelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
membershipIdentifier: str,
collaborationIdentifier: str,
name: str,
configuredModelAlgorithmAssociations: List[str],
mlInputChannelArn: str,
status: MLInputChannelStatusType, # (1)
protectedQueryIdentifier: NotRequired[str],
description: NotRequired[str],ListTagsForResourceRequestTypeDef#
# ListTagsForResourceRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTagsForResourceRequestTypeDef
def get_value() -> ListTagsForResourceRequestTypeDef:
return {
"resourceArn": ...,
}
# ListTagsForResourceRequestTypeDef definition
class ListTagsForResourceRequestTypeDef(TypedDict):
resourceArn: str,ListTrainedModelInferenceJobsRequestTypeDef#
# ListTrainedModelInferenceJobsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelInferenceJobsRequestTypeDef
def get_value() -> ListTrainedModelInferenceJobsRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# ListTrainedModelInferenceJobsRequestTypeDef definition
class ListTrainedModelInferenceJobsRequestTypeDef(TypedDict):
membershipIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],
trainedModelArn: NotRequired[str],ListTrainedModelsRequestTypeDef#
# ListTrainedModelsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelsRequestTypeDef
def get_value() -> ListTrainedModelsRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# ListTrainedModelsRequestTypeDef definition
class ListTrainedModelsRequestTypeDef(TypedDict):
membershipIdentifier: str,
nextToken: NotRequired[str],
maxResults: NotRequired[int],TrainedModelSummaryTypeDef#
# TrainedModelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelSummaryTypeDef
def get_value() -> TrainedModelSummaryTypeDef:
return {
"createTime": ...,
}
# TrainedModelSummaryTypeDef definition
class TrainedModelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainedModelArn: str,
name: str,
membershipIdentifier: str,
collaborationIdentifier: str,
status: TrainedModelStatusType, # (1)
configuredModelAlgorithmAssociationArn: str,
description: NotRequired[str],ListTrainingDatasetsRequestTypeDef#
# ListTrainingDatasetsRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainingDatasetsRequestTypeDef
def get_value() -> ListTrainingDatasetsRequestTypeDef:
return {
"nextToken": ...,
}
# ListTrainingDatasetsRequestTypeDef definition
class ListTrainingDatasetsRequestTypeDef(TypedDict):
nextToken: NotRequired[str],
maxResults: NotRequired[int],TrainingDatasetSummaryTypeDef#
# TrainingDatasetSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainingDatasetSummaryTypeDef
def get_value() -> TrainingDatasetSummaryTypeDef:
return {
"createTime": ...,
}
# TrainingDatasetSummaryTypeDef definition
class TrainingDatasetSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainingDatasetArn: str,
name: str,
status: TrainingDatasetStatusType, # (1)
description: NotRequired[str],LogsConfigurationPolicyOutputTypeDef#
# LogsConfigurationPolicyOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import LogsConfigurationPolicyOutputTypeDef
def get_value() -> LogsConfigurationPolicyOutputTypeDef:
return {
"allowedAccountIds": ...,
}
# LogsConfigurationPolicyOutputTypeDef definition
class LogsConfigurationPolicyOutputTypeDef(TypedDict):
allowedAccountIds: List[str],
filterPattern: NotRequired[str],LogsConfigurationPolicyTypeDef#
# LogsConfigurationPolicyTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import LogsConfigurationPolicyTypeDef
def get_value() -> LogsConfigurationPolicyTypeDef:
return {
"allowedAccountIds": ...,
}
# LogsConfigurationPolicyTypeDef definition
class LogsConfigurationPolicyTypeDef(TypedDict):
allowedAccountIds: Sequence[str],
filterPattern: NotRequired[str],MetricsConfigurationPolicyTypeDef#
# MetricsConfigurationPolicyTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import MetricsConfigurationPolicyTypeDef
def get_value() -> MetricsConfigurationPolicyTypeDef:
return {
"noiseLevel": ...,
}
# MetricsConfigurationPolicyTypeDef definition
class MetricsConfigurationPolicyTypeDef(TypedDict):
noiseLevel: NoiseLevelTypeType, # (1)PutConfiguredAudienceModelPolicyRequestTypeDef#
# PutConfiguredAudienceModelPolicyRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PutConfiguredAudienceModelPolicyRequestTypeDef
def get_value() -> PutConfiguredAudienceModelPolicyRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# PutConfiguredAudienceModelPolicyRequestTypeDef definition
class PutConfiguredAudienceModelPolicyRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,
configuredAudienceModelPolicy: str,
previousPolicyHash: NotRequired[str],
policyExistenceCondition: NotRequired[PolicyExistenceConditionType], # (1)TagResourceRequestTypeDef#
# TagResourceRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TagResourceRequestTypeDef
def get_value() -> TagResourceRequestTypeDef:
return {
"resourceArn": ...,
}
# TagResourceRequestTypeDef definition
class TagResourceRequestTypeDef(TypedDict):
resourceArn: str,
tags: Mapping[str, str],TrainedModelExportReceiverMemberTypeDef#
# TrainedModelExportReceiverMemberTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportReceiverMemberTypeDef
def get_value() -> TrainedModelExportReceiverMemberTypeDef:
return {
"accountId": ...,
}
# TrainedModelExportReceiverMemberTypeDef definition
class TrainedModelExportReceiverMemberTypeDef(TypedDict):
accountId: str,TrainedModelExportsMaxSizeTypeDef#
# TrainedModelExportsMaxSizeTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportsMaxSizeTypeDef
def get_value() -> TrainedModelExportsMaxSizeTypeDef:
return {
"unit": ...,
}
# TrainedModelExportsMaxSizeTypeDef definition
class TrainedModelExportsMaxSizeTypeDef(TypedDict):
unit: TrainedModelExportsMaxSizeUnitTypeType, # (1)
value: float,TrainedModelInferenceMaxOutputSizeTypeDef#
# TrainedModelInferenceMaxOutputSizeTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelInferenceMaxOutputSizeTypeDef
def get_value() -> TrainedModelInferenceMaxOutputSizeTypeDef:
return {
"unit": ...,
}
# TrainedModelInferenceMaxOutputSizeTypeDef definition
class TrainedModelInferenceMaxOutputSizeTypeDef(TypedDict):
unit: TrainedModelInferenceMaxOutputSizeUnitTypeType, # (1)
value: float,UntagResourceRequestTypeDef#
# UntagResourceRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import UntagResourceRequestTypeDef
def get_value() -> UntagResourceRequestTypeDef:
return {
"resourceArn": ...,
}
# UntagResourceRequestTypeDef definition
class UntagResourceRequestTypeDef(TypedDict):
resourceArn: str,
tagKeys: Sequence[str],AudienceDestinationTypeDef#
# AudienceDestinationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceDestinationTypeDef
def get_value() -> AudienceDestinationTypeDef:
return {
"s3Destination": ...,
}
# AudienceDestinationTypeDef definition
class AudienceDestinationTypeDef(TypedDict):
s3Destination: S3ConfigMapTypeDef, # (1)DestinationTypeDef#
# DestinationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DestinationTypeDef
def get_value() -> DestinationTypeDef:
return {
"s3Destination": ...,
}
# DestinationTypeDef definition
class DestinationTypeDef(TypedDict):
s3Destination: S3ConfigMapTypeDef, # (1)RelevanceMetricTypeDef#
# RelevanceMetricTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import RelevanceMetricTypeDef
def get_value() -> RelevanceMetricTypeDef:
return {
"audienceSize": ...,
}
# RelevanceMetricTypeDef definition
class RelevanceMetricTypeDef(TypedDict):
audienceSize: AudienceSizeTypeDef, # (1)
score: NotRequired[float],StartAudienceExportJobRequestTypeDef#
# StartAudienceExportJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartAudienceExportJobRequestTypeDef
def get_value() -> StartAudienceExportJobRequestTypeDef:
return {
"name": ...,
}
# StartAudienceExportJobRequestTypeDef definition
class StartAudienceExportJobRequestTypeDef(TypedDict):
name: str,
audienceGenerationJobArn: str,
audienceSize: AudienceSizeTypeDef, # (1)
description: NotRequired[str],AudienceExportJobSummaryTypeDef#
# AudienceExportJobSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceExportJobSummaryTypeDef
def get_value() -> AudienceExportJobSummaryTypeDef:
return {
"createTime": ...,
}
# AudienceExportJobSummaryTypeDef definition
class AudienceExportJobSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
name: str,
audienceGenerationJobArn: str,
audienceSize: AudienceSizeTypeDef, # (1)
status: AudienceExportJobStatusType, # (2)
description: NotRequired[str],
statusDetails: NotRequired[StatusDetailsTypeDef], # (3)
outputLocation: NotRequired[str],ComputeConfigurationTypeDef#
# ComputeConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ComputeConfigurationTypeDef
def get_value() -> ComputeConfigurationTypeDef:
return {
"worker": ...,
}
# ComputeConfigurationTypeDef definition
class ComputeConfigurationTypeDef(TypedDict):
worker: NotRequired[WorkerComputeConfigurationTypeDef], # (1)ContainerConfigOutputTypeDef#
# ContainerConfigOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ContainerConfigOutputTypeDef
def get_value() -> ContainerConfigOutputTypeDef:
return {
"imageUri": ...,
}
# ContainerConfigOutputTypeDef definition
class ContainerConfigOutputTypeDef(TypedDict):
imageUri: str,
entrypoint: NotRequired[List[str]],
arguments: NotRequired[List[str]],
metricDefinitions: NotRequired[List[MetricDefinitionTypeDef]], # (1)ContainerConfigTypeDef#
# ContainerConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ContainerConfigTypeDef
def get_value() -> ContainerConfigTypeDef:
return {
"imageUri": ...,
}
# ContainerConfigTypeDef definition
class ContainerConfigTypeDef(TypedDict):
imageUri: str,
entrypoint: NotRequired[Sequence[str]],
arguments: NotRequired[Sequence[str]],
metricDefinitions: NotRequired[Sequence[MetricDefinitionTypeDef]], # (1)CreateAudienceModelRequestTypeDef#
# CreateAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateAudienceModelRequestTypeDef
def get_value() -> CreateAudienceModelRequestTypeDef:
return {
"name": ...,
}
# CreateAudienceModelRequestTypeDef definition
class CreateAudienceModelRequestTypeDef(TypedDict):
name: str,
trainingDatasetArn: str,
trainingDataStartTime: NotRequired[TimestampTypeDef],
trainingDataEndTime: NotRequired[TimestampTypeDef],
kmsKeyArn: NotRequired[str],
tags: NotRequired[Mapping[str, str]],
description: NotRequired[str],CreateAudienceModelResponseTypeDef#
# CreateAudienceModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateAudienceModelResponseTypeDef
def get_value() -> CreateAudienceModelResponseTypeDef:
return {
"audienceModelArn": ...,
}
# CreateAudienceModelResponseTypeDef definition
class CreateAudienceModelResponseTypeDef(TypedDict):
audienceModelArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateConfiguredAudienceModelResponseTypeDef#
# CreateConfiguredAudienceModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredAudienceModelResponseTypeDef
def get_value() -> CreateConfiguredAudienceModelResponseTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# CreateConfiguredAudienceModelResponseTypeDef definition
class CreateConfiguredAudienceModelResponseTypeDef(TypedDict):
configuredAudienceModelArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateConfiguredModelAlgorithmAssociationResponseTypeDef#
# CreateConfiguredModelAlgorithmAssociationResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredModelAlgorithmAssociationResponseTypeDef
def get_value() -> CreateConfiguredModelAlgorithmAssociationResponseTypeDef:
return {
"configuredModelAlgorithmAssociationArn": ...,
}
# CreateConfiguredModelAlgorithmAssociationResponseTypeDef definition
class CreateConfiguredModelAlgorithmAssociationResponseTypeDef(TypedDict):
configuredModelAlgorithmAssociationArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateConfiguredModelAlgorithmResponseTypeDef#
# CreateConfiguredModelAlgorithmResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredModelAlgorithmResponseTypeDef
def get_value() -> CreateConfiguredModelAlgorithmResponseTypeDef:
return {
"configuredModelAlgorithmArn": ...,
}
# CreateConfiguredModelAlgorithmResponseTypeDef definition
class CreateConfiguredModelAlgorithmResponseTypeDef(TypedDict):
configuredModelAlgorithmArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateMLInputChannelResponseTypeDef#
# CreateMLInputChannelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateMLInputChannelResponseTypeDef
def get_value() -> CreateMLInputChannelResponseTypeDef:
return {
"mlInputChannelArn": ...,
}
# CreateMLInputChannelResponseTypeDef definition
class CreateMLInputChannelResponseTypeDef(TypedDict):
mlInputChannelArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateTrainedModelResponseTypeDef#
# CreateTrainedModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateTrainedModelResponseTypeDef
def get_value() -> CreateTrainedModelResponseTypeDef:
return {
"trainedModelArn": ...,
}
# CreateTrainedModelResponseTypeDef definition
class CreateTrainedModelResponseTypeDef(TypedDict):
trainedModelArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateTrainingDatasetResponseTypeDef#
# CreateTrainingDatasetResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateTrainingDatasetResponseTypeDef
def get_value() -> CreateTrainingDatasetResponseTypeDef:
return {
"trainingDatasetArn": ...,
}
# CreateTrainingDatasetResponseTypeDef definition
class CreateTrainingDatasetResponseTypeDef(TypedDict):
trainingDatasetArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)EmptyResponseMetadataTypeDef#
# EmptyResponseMetadataTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import EmptyResponseMetadataTypeDef
def get_value() -> EmptyResponseMetadataTypeDef:
return {
"ResponseMetadata": ...,
}
# EmptyResponseMetadataTypeDef definition
class EmptyResponseMetadataTypeDef(TypedDict):
ResponseMetadata: ResponseMetadataTypeDef, # (1)GetAudienceModelResponseTypeDef#
# GetAudienceModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetAudienceModelResponseTypeDef
def get_value() -> GetAudienceModelResponseTypeDef:
return {
"createTime": ...,
}
# GetAudienceModelResponseTypeDef definition
class GetAudienceModelResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainingDataStartTime: datetime,
trainingDataEndTime: datetime,
audienceModelArn: str,
name: str,
trainingDatasetArn: str,
status: AudienceModelStatusType, # (1)
statusDetails: StatusDetailsTypeDef, # (2)
kmsKeyArn: str,
tags: Dict[str, str],
description: str,
ResponseMetadata: ResponseMetadataTypeDef, # (3)GetCollaborationMLInputChannelResponseTypeDef#
# GetCollaborationMLInputChannelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationMLInputChannelResponseTypeDef
def get_value() -> GetCollaborationMLInputChannelResponseTypeDef:
return {
"createTime": ...,
}
# GetCollaborationMLInputChannelResponseTypeDef definition
class GetCollaborationMLInputChannelResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
creatorAccountId: str,
membershipIdentifier: str,
collaborationIdentifier: str,
mlInputChannelArn: str,
name: str,
configuredModelAlgorithmAssociations: List[str],
status: MLInputChannelStatusType, # (1)
statusDetails: StatusDetailsTypeDef, # (2)
retentionInDays: int,
numberOfRecords: int,
description: str,
ResponseMetadata: ResponseMetadataTypeDef, # (3)GetConfiguredAudienceModelPolicyResponseTypeDef#
# GetConfiguredAudienceModelPolicyResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredAudienceModelPolicyResponseTypeDef
def get_value() -> GetConfiguredAudienceModelPolicyResponseTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# GetConfiguredAudienceModelPolicyResponseTypeDef definition
class GetConfiguredAudienceModelPolicyResponseTypeDef(TypedDict):
configuredAudienceModelArn: str,
configuredAudienceModelPolicy: str,
policyHash: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)ListAudienceGenerationJobsResponseTypeDef#
# ListAudienceGenerationJobsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceGenerationJobsResponseTypeDef
def get_value() -> ListAudienceGenerationJobsResponseTypeDef:
return {
"nextToken": ...,
}
# ListAudienceGenerationJobsResponseTypeDef definition
class ListAudienceGenerationJobsResponseTypeDef(TypedDict):
audienceGenerationJobs: List[AudienceGenerationJobSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListAudienceModelsResponseTypeDef#
# ListAudienceModelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceModelsResponseTypeDef
def get_value() -> ListAudienceModelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListAudienceModelsResponseTypeDef definition
class ListAudienceModelsResponseTypeDef(TypedDict):
audienceModels: List[AudienceModelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef#
# ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef
def get_value() -> ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef:
return {
"nextToken": ...,
}
# ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef definition
class ListCollaborationConfiguredModelAlgorithmAssociationsResponseTypeDef(TypedDict):
collaborationConfiguredModelAlgorithmAssociations: List[CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListCollaborationMLInputChannelsResponseTypeDef#
# ListCollaborationMLInputChannelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationMLInputChannelsResponseTypeDef
def get_value() -> ListCollaborationMLInputChannelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListCollaborationMLInputChannelsResponseTypeDef definition
class ListCollaborationMLInputChannelsResponseTypeDef(TypedDict):
collaborationMLInputChannelsList: List[CollaborationMLInputChannelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListCollaborationTrainedModelsResponseTypeDef#
# ListCollaborationTrainedModelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelsResponseTypeDef
def get_value() -> ListCollaborationTrainedModelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListCollaborationTrainedModelsResponseTypeDef definition
class ListCollaborationTrainedModelsResponseTypeDef(TypedDict):
collaborationTrainedModels: List[CollaborationTrainedModelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListConfiguredModelAlgorithmAssociationsResponseTypeDef#
# ListConfiguredModelAlgorithmAssociationsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmAssociationsResponseTypeDef
def get_value() -> ListConfiguredModelAlgorithmAssociationsResponseTypeDef:
return {
"nextToken": ...,
}
# ListConfiguredModelAlgorithmAssociationsResponseTypeDef definition
class ListConfiguredModelAlgorithmAssociationsResponseTypeDef(TypedDict):
configuredModelAlgorithmAssociations: List[ConfiguredModelAlgorithmAssociationSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListConfiguredModelAlgorithmsResponseTypeDef#
# ListConfiguredModelAlgorithmsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmsResponseTypeDef
def get_value() -> ListConfiguredModelAlgorithmsResponseTypeDef:
return {
"nextToken": ...,
}
# ListConfiguredModelAlgorithmsResponseTypeDef definition
class ListConfiguredModelAlgorithmsResponseTypeDef(TypedDict):
configuredModelAlgorithms: List[ConfiguredModelAlgorithmSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListTagsForResourceResponseTypeDef#
# ListTagsForResourceResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTagsForResourceResponseTypeDef
def get_value() -> ListTagsForResourceResponseTypeDef:
return {
"tags": ...,
}
# ListTagsForResourceResponseTypeDef definition
class ListTagsForResourceResponseTypeDef(TypedDict):
tags: Dict[str, str],
ResponseMetadata: ResponseMetadataTypeDef, # (1)PutConfiguredAudienceModelPolicyResponseTypeDef#
# PutConfiguredAudienceModelPolicyResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PutConfiguredAudienceModelPolicyResponseTypeDef
def get_value() -> PutConfiguredAudienceModelPolicyResponseTypeDef:
return {
"configuredAudienceModelPolicy": ...,
}
# PutConfiguredAudienceModelPolicyResponseTypeDef definition
class PutConfiguredAudienceModelPolicyResponseTypeDef(TypedDict):
configuredAudienceModelPolicy: str,
policyHash: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)StartAudienceGenerationJobResponseTypeDef#
# StartAudienceGenerationJobResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartAudienceGenerationJobResponseTypeDef
def get_value() -> StartAudienceGenerationJobResponseTypeDef:
return {
"audienceGenerationJobArn": ...,
}
# StartAudienceGenerationJobResponseTypeDef definition
class StartAudienceGenerationJobResponseTypeDef(TypedDict):
audienceGenerationJobArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)StartTrainedModelInferenceJobResponseTypeDef#
# StartTrainedModelInferenceJobResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartTrainedModelInferenceJobResponseTypeDef
def get_value() -> StartTrainedModelInferenceJobResponseTypeDef:
return {
"trainedModelInferenceJobArn": ...,
}
# StartTrainedModelInferenceJobResponseTypeDef definition
class StartTrainedModelInferenceJobResponseTypeDef(TypedDict):
trainedModelInferenceJobArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)UpdateConfiguredAudienceModelResponseTypeDef#
# UpdateConfiguredAudienceModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import UpdateConfiguredAudienceModelResponseTypeDef
def get_value() -> UpdateConfiguredAudienceModelResponseTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# UpdateConfiguredAudienceModelResponseTypeDef definition
class UpdateConfiguredAudienceModelResponseTypeDef(TypedDict):
configuredAudienceModelArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)CreateTrainedModelRequestTypeDef#
# CreateTrainedModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateTrainedModelRequestTypeDef
def get_value() -> CreateTrainedModelRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# CreateTrainedModelRequestTypeDef definition
class CreateTrainedModelRequestTypeDef(TypedDict):
membershipIdentifier: str,
name: str,
configuredModelAlgorithmAssociationArn: str,
resourceConfig: ResourceConfigTypeDef, # (1)
dataChannels: Sequence[ModelTrainingDataChannelTypeDef], # (2)
hyperparameters: NotRequired[Mapping[str, str]],
environment: NotRequired[Mapping[str, str]],
stoppingCondition: NotRequired[StoppingConditionTypeDef], # (3)
description: NotRequired[str],
kmsKeyArn: NotRequired[str],
tags: NotRequired[Mapping[str, str]],GetCollaborationTrainedModelResponseTypeDef#
# GetCollaborationTrainedModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationTrainedModelResponseTypeDef
def get_value() -> GetCollaborationTrainedModelResponseTypeDef:
return {
"membershipIdentifier": ...,
}
# GetCollaborationTrainedModelResponseTypeDef definition
class GetCollaborationTrainedModelResponseTypeDef(TypedDict):
membershipIdentifier: str,
collaborationIdentifier: str,
trainedModelArn: str,
name: str,
description: str,
status: TrainedModelStatusType, # (1)
statusDetails: StatusDetailsTypeDef, # (2)
configuredModelAlgorithmAssociationArn: str,
resourceConfig: ResourceConfigTypeDef, # (3)
stoppingCondition: StoppingConditionTypeDef, # (4)
metricsStatus: MetricsStatusType, # (5)
metricsStatusDetails: str,
logsStatus: LogsStatusType, # (6)
logsStatusDetails: str,
trainingContainerImageDigest: str,
createTime: datetime,
updateTime: datetime,
creatorAccountId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (7)- See TrainedModelStatusType
- See StatusDetailsTypeDef
- See ResourceConfigTypeDef
- See StoppingConditionTypeDef
- See MetricsStatusType
- See LogsStatusType
- See ResponseMetadataTypeDef
GetTrainedModelResponseTypeDef#
# GetTrainedModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainedModelResponseTypeDef
def get_value() -> GetTrainedModelResponseTypeDef:
return {
"membershipIdentifier": ...,
}
# GetTrainedModelResponseTypeDef definition
class GetTrainedModelResponseTypeDef(TypedDict):
membershipIdentifier: str,
collaborationIdentifier: str,
trainedModelArn: str,
name: str,
description: str,
status: TrainedModelStatusType, # (1)
statusDetails: StatusDetailsTypeDef, # (2)
configuredModelAlgorithmAssociationArn: str,
resourceConfig: ResourceConfigTypeDef, # (3)
stoppingCondition: StoppingConditionTypeDef, # (4)
metricsStatus: MetricsStatusType, # (5)
metricsStatusDetails: str,
logsStatus: LogsStatusType, # (6)
logsStatusDetails: str,
trainingContainerImageDigest: str,
createTime: datetime,
updateTime: datetime,
hyperparameters: Dict[str, str],
environment: Dict[str, str],
kmsKeyArn: str,
tags: Dict[str, str],
dataChannels: List[ModelTrainingDataChannelTypeDef], # (7)
ResponseMetadata: ResponseMetadataTypeDef, # (8)- See TrainedModelStatusType
- See StatusDetailsTypeDef
- See ResourceConfigTypeDef
- See StoppingConditionTypeDef
- See MetricsStatusType
- See LogsStatusType
- See ModelTrainingDataChannelTypeDef
- See ResponseMetadataTypeDef
DataSourceTypeDef#
# DataSourceTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DataSourceTypeDef
def get_value() -> DataSourceTypeDef:
return {
"glueDataSource": ...,
}
# DataSourceTypeDef definition
class DataSourceTypeDef(TypedDict):
glueDataSource: GlueDataSourceTypeDef, # (1)InferenceOutputConfigurationOutputTypeDef#
# InferenceOutputConfigurationOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceOutputConfigurationOutputTypeDef
def get_value() -> InferenceOutputConfigurationOutputTypeDef:
return {
"accept": ...,
}
# InferenceOutputConfigurationOutputTypeDef definition
class InferenceOutputConfigurationOutputTypeDef(TypedDict):
members: List[InferenceReceiverMemberTypeDef], # (1)
accept: NotRequired[str],InferenceOutputConfigurationTypeDef#
# InferenceOutputConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InferenceOutputConfigurationTypeDef
def get_value() -> InferenceOutputConfigurationTypeDef:
return {
"accept": ...,
}
# InferenceOutputConfigurationTypeDef definition
class InferenceOutputConfigurationTypeDef(TypedDict):
members: Sequence[InferenceReceiverMemberTypeDef], # (1)
accept: NotRequired[str],ListAudienceExportJobsRequestPaginateTypeDef#
# ListAudienceExportJobsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceExportJobsRequestPaginateTypeDef
def get_value() -> ListAudienceExportJobsRequestPaginateTypeDef:
return {
"audienceGenerationJobArn": ...,
}
# ListAudienceExportJobsRequestPaginateTypeDef definition
class ListAudienceExportJobsRequestPaginateTypeDef(TypedDict):
audienceGenerationJobArn: NotRequired[str],
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListAudienceGenerationJobsRequestPaginateTypeDef#
# ListAudienceGenerationJobsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceGenerationJobsRequestPaginateTypeDef
def get_value() -> ListAudienceGenerationJobsRequestPaginateTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# ListAudienceGenerationJobsRequestPaginateTypeDef definition
class ListAudienceGenerationJobsRequestPaginateTypeDef(TypedDict):
configuredAudienceModelArn: NotRequired[str],
collaborationId: NotRequired[str],
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListAudienceModelsRequestPaginateTypeDef#
# ListAudienceModelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceModelsRequestPaginateTypeDef
def get_value() -> ListAudienceModelsRequestPaginateTypeDef:
return {
"PaginationConfig": ...,
}
# ListAudienceModelsRequestPaginateTypeDef definition
class ListAudienceModelsRequestPaginateTypeDef(TypedDict):
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef#
# ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef
def get_value() -> ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef definition
class ListCollaborationConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef(TypedDict):
collaborationIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListCollaborationMLInputChannelsRequestPaginateTypeDef#
# ListCollaborationMLInputChannelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationMLInputChannelsRequestPaginateTypeDef
def get_value() -> ListCollaborationMLInputChannelsRequestPaginateTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationMLInputChannelsRequestPaginateTypeDef definition
class ListCollaborationMLInputChannelsRequestPaginateTypeDef(TypedDict):
collaborationIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef#
# ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef
def get_value() -> ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef definition
class ListCollaborationTrainedModelExportJobsRequestPaginateTypeDef(TypedDict):
collaborationIdentifier: str,
trainedModelArn: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef#
# ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef
def get_value() -> ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef definition
class ListCollaborationTrainedModelInferenceJobsRequestPaginateTypeDef(TypedDict):
collaborationIdentifier: str,
trainedModelArn: NotRequired[str],
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListCollaborationTrainedModelsRequestPaginateTypeDef#
# ListCollaborationTrainedModelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelsRequestPaginateTypeDef
def get_value() -> ListCollaborationTrainedModelsRequestPaginateTypeDef:
return {
"collaborationIdentifier": ...,
}
# ListCollaborationTrainedModelsRequestPaginateTypeDef definition
class ListCollaborationTrainedModelsRequestPaginateTypeDef(TypedDict):
collaborationIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListConfiguredAudienceModelsRequestPaginateTypeDef#
# ListConfiguredAudienceModelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredAudienceModelsRequestPaginateTypeDef
def get_value() -> ListConfiguredAudienceModelsRequestPaginateTypeDef:
return {
"PaginationConfig": ...,
}
# ListConfiguredAudienceModelsRequestPaginateTypeDef definition
class ListConfiguredAudienceModelsRequestPaginateTypeDef(TypedDict):
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef#
# ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef
def get_value() -> ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef:
return {
"membershipIdentifier": ...,
}
# ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef definition
class ListConfiguredModelAlgorithmAssociationsRequestPaginateTypeDef(TypedDict):
membershipIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListConfiguredModelAlgorithmsRequestPaginateTypeDef#
# ListConfiguredModelAlgorithmsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredModelAlgorithmsRequestPaginateTypeDef
def get_value() -> ListConfiguredModelAlgorithmsRequestPaginateTypeDef:
return {
"PaginationConfig": ...,
}
# ListConfiguredModelAlgorithmsRequestPaginateTypeDef definition
class ListConfiguredModelAlgorithmsRequestPaginateTypeDef(TypedDict):
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListMLInputChannelsRequestPaginateTypeDef#
# ListMLInputChannelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListMLInputChannelsRequestPaginateTypeDef
def get_value() -> ListMLInputChannelsRequestPaginateTypeDef:
return {
"membershipIdentifier": ...,
}
# ListMLInputChannelsRequestPaginateTypeDef definition
class ListMLInputChannelsRequestPaginateTypeDef(TypedDict):
membershipIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListTrainedModelInferenceJobsRequestPaginateTypeDef#
# ListTrainedModelInferenceJobsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelInferenceJobsRequestPaginateTypeDef
def get_value() -> ListTrainedModelInferenceJobsRequestPaginateTypeDef:
return {
"membershipIdentifier": ...,
}
# ListTrainedModelInferenceJobsRequestPaginateTypeDef definition
class ListTrainedModelInferenceJobsRequestPaginateTypeDef(TypedDict):
membershipIdentifier: str,
trainedModelArn: NotRequired[str],
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListTrainedModelsRequestPaginateTypeDef#
# ListTrainedModelsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelsRequestPaginateTypeDef
def get_value() -> ListTrainedModelsRequestPaginateTypeDef:
return {
"membershipIdentifier": ...,
}
# ListTrainedModelsRequestPaginateTypeDef definition
class ListTrainedModelsRequestPaginateTypeDef(TypedDict):
membershipIdentifier: str,
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListTrainingDatasetsRequestPaginateTypeDef#
# ListTrainingDatasetsRequestPaginateTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainingDatasetsRequestPaginateTypeDef
def get_value() -> ListTrainingDatasetsRequestPaginateTypeDef:
return {
"PaginationConfig": ...,
}
# ListTrainingDatasetsRequestPaginateTypeDef definition
class ListTrainingDatasetsRequestPaginateTypeDef(TypedDict):
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (1)ListMLInputChannelsResponseTypeDef#
# ListMLInputChannelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListMLInputChannelsResponseTypeDef
def get_value() -> ListMLInputChannelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListMLInputChannelsResponseTypeDef definition
class ListMLInputChannelsResponseTypeDef(TypedDict):
mlInputChannelsList: List[MLInputChannelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListTrainedModelsResponseTypeDef#
# ListTrainedModelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelsResponseTypeDef
def get_value() -> ListTrainedModelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListTrainedModelsResponseTypeDef definition
class ListTrainedModelsResponseTypeDef(TypedDict):
trainedModels: List[TrainedModelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListTrainingDatasetsResponseTypeDef#
# ListTrainingDatasetsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainingDatasetsResponseTypeDef
def get_value() -> ListTrainingDatasetsResponseTypeDef:
return {
"nextToken": ...,
}
# ListTrainingDatasetsResponseTypeDef definition
class ListTrainingDatasetsResponseTypeDef(TypedDict):
trainingDatasets: List[TrainingDatasetSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],TrainedModelsConfigurationPolicyOutputTypeDef#
# TrainedModelsConfigurationPolicyOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelsConfigurationPolicyOutputTypeDef
def get_value() -> TrainedModelsConfigurationPolicyOutputTypeDef:
return {
"containerLogs": ...,
}
# TrainedModelsConfigurationPolicyOutputTypeDef definition
class TrainedModelsConfigurationPolicyOutputTypeDef(TypedDict):
containerLogs: NotRequired[List[LogsConfigurationPolicyOutputTypeDef]], # (1)
containerMetrics: NotRequired[MetricsConfigurationPolicyTypeDef], # (2)TrainedModelsConfigurationPolicyTypeDef#
# TrainedModelsConfigurationPolicyTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelsConfigurationPolicyTypeDef
def get_value() -> TrainedModelsConfigurationPolicyTypeDef:
return {
"containerLogs": ...,
}
# TrainedModelsConfigurationPolicyTypeDef definition
class TrainedModelsConfigurationPolicyTypeDef(TypedDict):
containerLogs: NotRequired[Sequence[LogsConfigurationPolicyTypeDef]], # (1)
containerMetrics: NotRequired[MetricsConfigurationPolicyTypeDef], # (2)TrainedModelExportOutputConfigurationOutputTypeDef#
# TrainedModelExportOutputConfigurationOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportOutputConfigurationOutputTypeDef
def get_value() -> TrainedModelExportOutputConfigurationOutputTypeDef:
return {
"members": ...,
}
# TrainedModelExportOutputConfigurationOutputTypeDef definition
class TrainedModelExportOutputConfigurationOutputTypeDef(TypedDict):
members: List[TrainedModelExportReceiverMemberTypeDef], # (1)TrainedModelExportOutputConfigurationTypeDef#
# TrainedModelExportOutputConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportOutputConfigurationTypeDef
def get_value() -> TrainedModelExportOutputConfigurationTypeDef:
return {
"members": ...,
}
# TrainedModelExportOutputConfigurationTypeDef definition
class TrainedModelExportOutputConfigurationTypeDef(TypedDict):
members: Sequence[TrainedModelExportReceiverMemberTypeDef], # (1)TrainedModelExportsConfigurationPolicyOutputTypeDef#
# TrainedModelExportsConfigurationPolicyOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportsConfigurationPolicyOutputTypeDef
def get_value() -> TrainedModelExportsConfigurationPolicyOutputTypeDef:
return {
"maxSize": ...,
}
# TrainedModelExportsConfigurationPolicyOutputTypeDef definition
class TrainedModelExportsConfigurationPolicyOutputTypeDef(TypedDict):
maxSize: TrainedModelExportsMaxSizeTypeDef, # (1)
filesToExport: List[TrainedModelExportFileTypeType], # (2)TrainedModelExportsConfigurationPolicyTypeDef#
# TrainedModelExportsConfigurationPolicyTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelExportsConfigurationPolicyTypeDef
def get_value() -> TrainedModelExportsConfigurationPolicyTypeDef:
return {
"maxSize": ...,
}
# TrainedModelExportsConfigurationPolicyTypeDef definition
class TrainedModelExportsConfigurationPolicyTypeDef(TypedDict):
maxSize: TrainedModelExportsMaxSizeTypeDef, # (1)
filesToExport: Sequence[TrainedModelExportFileTypeType], # (2)TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef#
# TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef
def get_value() -> TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef:
return {
"containerLogs": ...,
}
# TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef definition
class TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef(TypedDict):
containerLogs: NotRequired[List[LogsConfigurationPolicyOutputTypeDef]], # (1)
maxOutputSize: NotRequired[TrainedModelInferenceMaxOutputSizeTypeDef], # (2)TrainedModelInferenceJobsConfigurationPolicyTypeDef#
# TrainedModelInferenceJobsConfigurationPolicyTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelInferenceJobsConfigurationPolicyTypeDef
def get_value() -> TrainedModelInferenceJobsConfigurationPolicyTypeDef:
return {
"containerLogs": ...,
}
# TrainedModelInferenceJobsConfigurationPolicyTypeDef definition
class TrainedModelInferenceJobsConfigurationPolicyTypeDef(TypedDict):
containerLogs: NotRequired[Sequence[LogsConfigurationPolicyTypeDef]], # (1)
maxOutputSize: NotRequired[TrainedModelInferenceMaxOutputSizeTypeDef], # (2)ConfiguredAudienceModelOutputConfigTypeDef#
# ConfiguredAudienceModelOutputConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ConfiguredAudienceModelOutputConfigTypeDef
def get_value() -> ConfiguredAudienceModelOutputConfigTypeDef:
return {
"destination": ...,
}
# ConfiguredAudienceModelOutputConfigTypeDef definition
class ConfiguredAudienceModelOutputConfigTypeDef(TypedDict):
destination: AudienceDestinationTypeDef, # (1)
roleArn: str,MLOutputConfigurationTypeDef#
# MLOutputConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import MLOutputConfigurationTypeDef
def get_value() -> MLOutputConfigurationTypeDef:
return {
"destination": ...,
}
# MLOutputConfigurationTypeDef definition
class MLOutputConfigurationTypeDef(TypedDict):
roleArn: str,
destination: NotRequired[DestinationTypeDef], # (1)AudienceQualityMetricsTypeDef#
# AudienceQualityMetricsTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceQualityMetricsTypeDef
def get_value() -> AudienceQualityMetricsTypeDef:
return {
"relevanceMetrics": ...,
}
# AudienceQualityMetricsTypeDef definition
class AudienceQualityMetricsTypeDef(TypedDict):
relevanceMetrics: List[RelevanceMetricTypeDef], # (1)
recallMetric: NotRequired[float],ListAudienceExportJobsResponseTypeDef#
# ListAudienceExportJobsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListAudienceExportJobsResponseTypeDef
def get_value() -> ListAudienceExportJobsResponseTypeDef:
return {
"nextToken": ...,
}
# ListAudienceExportJobsResponseTypeDef definition
class ListAudienceExportJobsResponseTypeDef(TypedDict):
audienceExportJobs: List[AudienceExportJobSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],AudienceGenerationJobDataSourceOutputTypeDef#
# AudienceGenerationJobDataSourceOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceGenerationJobDataSourceOutputTypeDef
def get_value() -> AudienceGenerationJobDataSourceOutputTypeDef:
return {
"dataSource": ...,
}
# AudienceGenerationJobDataSourceOutputTypeDef definition
class AudienceGenerationJobDataSourceOutputTypeDef(TypedDict):
roleArn: str,
dataSource: NotRequired[S3ConfigMapTypeDef], # (1)
sqlParameters: NotRequired[ProtectedQuerySQLParametersOutputTypeDef], # (2)
sqlComputeConfiguration: NotRequired[ComputeConfigurationTypeDef], # (3)AudienceGenerationJobDataSourceTypeDef#
# AudienceGenerationJobDataSourceTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import AudienceGenerationJobDataSourceTypeDef
def get_value() -> AudienceGenerationJobDataSourceTypeDef:
return {
"dataSource": ...,
}
# AudienceGenerationJobDataSourceTypeDef definition
class AudienceGenerationJobDataSourceTypeDef(TypedDict):
roleArn: str,
dataSource: NotRequired[S3ConfigMapTypeDef], # (1)
sqlParameters: NotRequired[ProtectedQuerySQLParametersTypeDef], # (2)
sqlComputeConfiguration: NotRequired[ComputeConfigurationTypeDef], # (3)ProtectedQueryInputParametersOutputTypeDef#
# ProtectedQueryInputParametersOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ProtectedQueryInputParametersOutputTypeDef
def get_value() -> ProtectedQueryInputParametersOutputTypeDef:
return {
"sqlParameters": ...,
}
# ProtectedQueryInputParametersOutputTypeDef definition
class ProtectedQueryInputParametersOutputTypeDef(TypedDict):
sqlParameters: ProtectedQuerySQLParametersOutputTypeDef, # (1)
computeConfiguration: NotRequired[ComputeConfigurationTypeDef], # (2)ProtectedQueryInputParametersTypeDef#
# ProtectedQueryInputParametersTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ProtectedQueryInputParametersTypeDef
def get_value() -> ProtectedQueryInputParametersTypeDef:
return {
"sqlParameters": ...,
}
# ProtectedQueryInputParametersTypeDef definition
class ProtectedQueryInputParametersTypeDef(TypedDict):
sqlParameters: ProtectedQuerySQLParametersTypeDef, # (1)
computeConfiguration: NotRequired[ComputeConfigurationTypeDef], # (2)GetConfiguredModelAlgorithmResponseTypeDef#
# GetConfiguredModelAlgorithmResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredModelAlgorithmResponseTypeDef
def get_value() -> GetConfiguredModelAlgorithmResponseTypeDef:
return {
"createTime": ...,
}
# GetConfiguredModelAlgorithmResponseTypeDef definition
class GetConfiguredModelAlgorithmResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmArn: str,
name: str,
trainingContainerConfig: ContainerConfigOutputTypeDef, # (1)
inferenceContainerConfig: InferenceContainerConfigTypeDef, # (2)
roleArn: str,
description: str,
tags: Dict[str, str],
kmsKeyArn: str,
ResponseMetadata: ResponseMetadataTypeDef, # (3)DatasetInputConfigOutputTypeDef#
# DatasetInputConfigOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DatasetInputConfigOutputTypeDef
def get_value() -> DatasetInputConfigOutputTypeDef:
return {
"schema": ...,
}
# DatasetInputConfigOutputTypeDef definition
class DatasetInputConfigOutputTypeDef(TypedDict):
schema: List[ColumnSchemaOutputTypeDef], # (1)
dataSource: DataSourceTypeDef, # (2)DatasetInputConfigTypeDef#
# DatasetInputConfigTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DatasetInputConfigTypeDef
def get_value() -> DatasetInputConfigTypeDef:
return {
"schema": ...,
}
# DatasetInputConfigTypeDef definition
class DatasetInputConfigTypeDef(TypedDict):
schema: Sequence[ColumnSchemaUnionTypeDef], # (1)
dataSource: DataSourceTypeDef, # (2)CollaborationTrainedModelInferenceJobSummaryTypeDef#
# CollaborationTrainedModelInferenceJobSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CollaborationTrainedModelInferenceJobSummaryTypeDef
def get_value() -> CollaborationTrainedModelInferenceJobSummaryTypeDef:
return {
"trainedModelInferenceJobArn": ...,
}
# CollaborationTrainedModelInferenceJobSummaryTypeDef definition
class CollaborationTrainedModelInferenceJobSummaryTypeDef(TypedDict):
trainedModelInferenceJobArn: str,
membershipIdentifier: str,
trainedModelArn: str,
collaborationIdentifier: str,
status: TrainedModelInferenceJobStatusType, # (1)
outputConfiguration: InferenceOutputConfigurationOutputTypeDef, # (2)
name: str,
createTime: datetime,
updateTime: datetime,
creatorAccountId: str,
configuredModelAlgorithmAssociationArn: NotRequired[str],
description: NotRequired[str],
metricsStatus: NotRequired[MetricsStatusType], # (3)
metricsStatusDetails: NotRequired[str],
logsStatus: NotRequired[LogsStatusType], # (4)
logsStatusDetails: NotRequired[str],- See TrainedModelInferenceJobStatusType
- See InferenceOutputConfigurationOutputTypeDef
- See MetricsStatusType
- See LogsStatusType
GetTrainedModelInferenceJobResponseTypeDef#
# GetTrainedModelInferenceJobResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainedModelInferenceJobResponseTypeDef
def get_value() -> GetTrainedModelInferenceJobResponseTypeDef:
return {
"createTime": ...,
}
# GetTrainedModelInferenceJobResponseTypeDef definition
class GetTrainedModelInferenceJobResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainedModelInferenceJobArn: str,
configuredModelAlgorithmAssociationArn: str,
name: str,
status: TrainedModelInferenceJobStatusType, # (1)
trainedModelArn: str,
resourceConfig: InferenceResourceConfigTypeDef, # (2)
outputConfiguration: InferenceOutputConfigurationOutputTypeDef, # (3)
membershipIdentifier: str,
dataSource: ModelInferenceDataSourceTypeDef, # (4)
containerExecutionParameters: InferenceContainerExecutionParametersTypeDef, # (5)
statusDetails: StatusDetailsTypeDef, # (6)
description: str,
inferenceContainerImageDigest: str,
environment: Dict[str, str],
kmsKeyArn: str,
metricsStatus: MetricsStatusType, # (7)
metricsStatusDetails: str,
logsStatus: LogsStatusType, # (8)
logsStatusDetails: str,
tags: Dict[str, str],
ResponseMetadata: ResponseMetadataTypeDef, # (9)- See TrainedModelInferenceJobStatusType
- See InferenceResourceConfigTypeDef
- See InferenceOutputConfigurationOutputTypeDef
- See ModelInferenceDataSourceTypeDef
- See InferenceContainerExecutionParametersTypeDef
- See StatusDetailsTypeDef
- See MetricsStatusType
- See LogsStatusType
- See ResponseMetadataTypeDef
TrainedModelInferenceJobSummaryTypeDef#
# TrainedModelInferenceJobSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import TrainedModelInferenceJobSummaryTypeDef
def get_value() -> TrainedModelInferenceJobSummaryTypeDef:
return {
"trainedModelInferenceJobArn": ...,
}
# TrainedModelInferenceJobSummaryTypeDef definition
class TrainedModelInferenceJobSummaryTypeDef(TypedDict):
trainedModelInferenceJobArn: str,
membershipIdentifier: str,
trainedModelArn: str,
collaborationIdentifier: str,
status: TrainedModelInferenceJobStatusType, # (1)
outputConfiguration: InferenceOutputConfigurationOutputTypeDef, # (2)
name: str,
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmAssociationArn: NotRequired[str],
description: NotRequired[str],
metricsStatus: NotRequired[MetricsStatusType], # (3)
metricsStatusDetails: NotRequired[str],
logsStatus: NotRequired[LogsStatusType], # (4)
logsStatusDetails: NotRequired[str],- See TrainedModelInferenceJobStatusType
- See InferenceOutputConfigurationOutputTypeDef
- See MetricsStatusType
- See LogsStatusType
CollaborationTrainedModelExportJobSummaryTypeDef#
# CollaborationTrainedModelExportJobSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CollaborationTrainedModelExportJobSummaryTypeDef
def get_value() -> CollaborationTrainedModelExportJobSummaryTypeDef:
return {
"createTime": ...,
}
# CollaborationTrainedModelExportJobSummaryTypeDef definition
class CollaborationTrainedModelExportJobSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
name: str,
outputConfiguration: TrainedModelExportOutputConfigurationOutputTypeDef, # (1)
status: TrainedModelExportJobStatusType, # (2)
creatorAccountId: str,
trainedModelArn: str,
membershipIdentifier: str,
collaborationIdentifier: str,
statusDetails: NotRequired[StatusDetailsTypeDef], # (3)
description: NotRequired[str],- See TrainedModelExportOutputConfigurationOutputTypeDef
- See TrainedModelExportJobStatusType
- See StatusDetailsTypeDef
PrivacyConfigurationPoliciesOutputTypeDef#
# PrivacyConfigurationPoliciesOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PrivacyConfigurationPoliciesOutputTypeDef
def get_value() -> PrivacyConfigurationPoliciesOutputTypeDef:
return {
"trainedModels": ...,
}
# PrivacyConfigurationPoliciesOutputTypeDef definition
class PrivacyConfigurationPoliciesOutputTypeDef(TypedDict):
trainedModels: NotRequired[TrainedModelsConfigurationPolicyOutputTypeDef], # (1)
trainedModelExports: NotRequired[TrainedModelExportsConfigurationPolicyOutputTypeDef], # (2)
trainedModelInferenceJobs: NotRequired[TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef], # (3)- See TrainedModelsConfigurationPolicyOutputTypeDef
- See TrainedModelExportsConfigurationPolicyOutputTypeDef
- See TrainedModelInferenceJobsConfigurationPolicyOutputTypeDef
PrivacyConfigurationPoliciesTypeDef#
# PrivacyConfigurationPoliciesTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PrivacyConfigurationPoliciesTypeDef
def get_value() -> PrivacyConfigurationPoliciesTypeDef:
return {
"trainedModels": ...,
}
# PrivacyConfigurationPoliciesTypeDef definition
class PrivacyConfigurationPoliciesTypeDef(TypedDict):
trainedModels: NotRequired[TrainedModelsConfigurationPolicyTypeDef], # (1)
trainedModelExports: NotRequired[TrainedModelExportsConfigurationPolicyTypeDef], # (2)
trainedModelInferenceJobs: NotRequired[TrainedModelInferenceJobsConfigurationPolicyTypeDef], # (3)- See TrainedModelsConfigurationPolicyTypeDef
- See TrainedModelExportsConfigurationPolicyTypeDef
- See TrainedModelInferenceJobsConfigurationPolicyTypeDef
ConfiguredAudienceModelSummaryTypeDef#
# ConfiguredAudienceModelSummaryTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ConfiguredAudienceModelSummaryTypeDef
def get_value() -> ConfiguredAudienceModelSummaryTypeDef:
return {
"createTime": ...,
}
# ConfiguredAudienceModelSummaryTypeDef definition
class ConfiguredAudienceModelSummaryTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
name: str,
audienceModelArn: str,
outputConfig: ConfiguredAudienceModelOutputConfigTypeDef, # (1)
configuredAudienceModelArn: str,
status: ConfiguredAudienceModelStatusType, # (2)
description: NotRequired[str],CreateConfiguredAudienceModelRequestTypeDef#
# CreateConfiguredAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredAudienceModelRequestTypeDef
def get_value() -> CreateConfiguredAudienceModelRequestTypeDef:
return {
"name": ...,
}
# CreateConfiguredAudienceModelRequestTypeDef definition
class CreateConfiguredAudienceModelRequestTypeDef(TypedDict):
name: str,
audienceModelArn: str,
outputConfig: ConfiguredAudienceModelOutputConfigTypeDef, # (1)
sharedAudienceMetrics: Sequence[SharedAudienceMetricsType], # (2)
description: NotRequired[str],
minMatchingSeedSize: NotRequired[int],
audienceSizeConfig: NotRequired[AudienceSizeConfigUnionTypeDef], # (3)
tags: NotRequired[Mapping[str, str]],
childResourceTagOnCreatePolicy: NotRequired[TagOnCreatePolicyType], # (4)- See ConfiguredAudienceModelOutputConfigTypeDef
- See SharedAudienceMetricsType
- See AudienceSizeConfigTypeDef AudienceSizeConfigOutputTypeDef
- See TagOnCreatePolicyType
GetConfiguredAudienceModelResponseTypeDef#
# GetConfiguredAudienceModelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredAudienceModelResponseTypeDef
def get_value() -> GetConfiguredAudienceModelResponseTypeDef:
return {
"createTime": ...,
}
# GetConfiguredAudienceModelResponseTypeDef definition
class GetConfiguredAudienceModelResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredAudienceModelArn: str,
name: str,
audienceModelArn: str,
outputConfig: ConfiguredAudienceModelOutputConfigTypeDef, # (1)
description: str,
status: ConfiguredAudienceModelStatusType, # (2)
sharedAudienceMetrics: List[SharedAudienceMetricsType], # (3)
minMatchingSeedSize: int,
audienceSizeConfig: AudienceSizeConfigOutputTypeDef, # (4)
tags: Dict[str, str],
childResourceTagOnCreatePolicy: TagOnCreatePolicyType, # (5)
ResponseMetadata: ResponseMetadataTypeDef, # (6)- See ConfiguredAudienceModelOutputConfigTypeDef
- See ConfiguredAudienceModelStatusType
- See SharedAudienceMetricsType
- See AudienceSizeConfigOutputTypeDef
- See TagOnCreatePolicyType
- See ResponseMetadataTypeDef
UpdateConfiguredAudienceModelRequestTypeDef#
# UpdateConfiguredAudienceModelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import UpdateConfiguredAudienceModelRequestTypeDef
def get_value() -> UpdateConfiguredAudienceModelRequestTypeDef:
return {
"configuredAudienceModelArn": ...,
}
# UpdateConfiguredAudienceModelRequestTypeDef definition
class UpdateConfiguredAudienceModelRequestTypeDef(TypedDict):
configuredAudienceModelArn: str,
outputConfig: NotRequired[ConfiguredAudienceModelOutputConfigTypeDef], # (1)
audienceModelArn: NotRequired[str],
sharedAudienceMetrics: NotRequired[Sequence[SharedAudienceMetricsType]], # (2)
minMatchingSeedSize: NotRequired[int],
audienceSizeConfig: NotRequired[AudienceSizeConfigUnionTypeDef], # (3)
description: NotRequired[str],- See ConfiguredAudienceModelOutputConfigTypeDef
- See SharedAudienceMetricsType
- See AudienceSizeConfigTypeDef AudienceSizeConfigOutputTypeDef
GetMLConfigurationResponseTypeDef#
# GetMLConfigurationResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetMLConfigurationResponseTypeDef
def get_value() -> GetMLConfigurationResponseTypeDef:
return {
"membershipIdentifier": ...,
}
# GetMLConfigurationResponseTypeDef definition
class GetMLConfigurationResponseTypeDef(TypedDict):
membershipIdentifier: str,
defaultOutputLocation: MLOutputConfigurationTypeDef, # (1)
createTime: datetime,
updateTime: datetime,
ResponseMetadata: ResponseMetadataTypeDef, # (2)PutMLConfigurationRequestTypeDef#
# PutMLConfigurationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PutMLConfigurationRequestTypeDef
def get_value() -> PutMLConfigurationRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# PutMLConfigurationRequestTypeDef definition
class PutMLConfigurationRequestTypeDef(TypedDict):
membershipIdentifier: str,
defaultOutputLocation: MLOutputConfigurationTypeDef, # (1)GetAudienceGenerationJobResponseTypeDef#
# GetAudienceGenerationJobResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetAudienceGenerationJobResponseTypeDef
def get_value() -> GetAudienceGenerationJobResponseTypeDef:
return {
"createTime": ...,
}
# GetAudienceGenerationJobResponseTypeDef definition
class GetAudienceGenerationJobResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
audienceGenerationJobArn: str,
name: str,
description: str,
status: AudienceGenerationJobStatusType, # (1)
statusDetails: StatusDetailsTypeDef, # (2)
configuredAudienceModelArn: str,
seedAudience: AudienceGenerationJobDataSourceOutputTypeDef, # (3)
includeSeedInOutput: bool,
collaborationId: str,
metrics: AudienceQualityMetricsTypeDef, # (4)
startedBy: str,
tags: Dict[str, str],
protectedQueryIdentifier: str,
ResponseMetadata: ResponseMetadataTypeDef, # (5)- See AudienceGenerationJobStatusType
- See StatusDetailsTypeDef
- See AudienceGenerationJobDataSourceOutputTypeDef
- See AudienceQualityMetricsTypeDef
- See ResponseMetadataTypeDef
InputChannelDataSourceOutputTypeDef#
# InputChannelDataSourceOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InputChannelDataSourceOutputTypeDef
def get_value() -> InputChannelDataSourceOutputTypeDef:
return {
"protectedQueryInputParameters": ...,
}
# InputChannelDataSourceOutputTypeDef definition
class InputChannelDataSourceOutputTypeDef(TypedDict):
protectedQueryInputParameters: NotRequired[ProtectedQueryInputParametersOutputTypeDef], # (1)InputChannelDataSourceTypeDef#
# InputChannelDataSourceTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InputChannelDataSourceTypeDef
def get_value() -> InputChannelDataSourceTypeDef:
return {
"protectedQueryInputParameters": ...,
}
# InputChannelDataSourceTypeDef definition
class InputChannelDataSourceTypeDef(TypedDict):
protectedQueryInputParameters: NotRequired[ProtectedQueryInputParametersTypeDef], # (1)CreateConfiguredModelAlgorithmRequestTypeDef#
# CreateConfiguredModelAlgorithmRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredModelAlgorithmRequestTypeDef
def get_value() -> CreateConfiguredModelAlgorithmRequestTypeDef:
return {
"name": ...,
}
# CreateConfiguredModelAlgorithmRequestTypeDef definition
class CreateConfiguredModelAlgorithmRequestTypeDef(TypedDict):
name: str,
roleArn: str,
description: NotRequired[str],
trainingContainerConfig: NotRequired[ContainerConfigUnionTypeDef], # (1)
inferenceContainerConfig: NotRequired[InferenceContainerConfigTypeDef], # (2)
tags: NotRequired[Mapping[str, str]],
kmsKeyArn: NotRequired[str],DatasetOutputTypeDef#
# DatasetOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DatasetOutputTypeDef
def get_value() -> DatasetOutputTypeDef:
return {
"type": ...,
}
# DatasetOutputTypeDef definition
class DatasetOutputTypeDef(TypedDict):
type: DatasetTypeType, # (1)
inputConfig: DatasetInputConfigOutputTypeDef, # (2)ListCollaborationTrainedModelInferenceJobsResponseTypeDef#
# ListCollaborationTrainedModelInferenceJobsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelInferenceJobsResponseTypeDef
def get_value() -> ListCollaborationTrainedModelInferenceJobsResponseTypeDef:
return {
"nextToken": ...,
}
# ListCollaborationTrainedModelInferenceJobsResponseTypeDef definition
class ListCollaborationTrainedModelInferenceJobsResponseTypeDef(TypedDict):
collaborationTrainedModelInferenceJobs: List[CollaborationTrainedModelInferenceJobSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],ListTrainedModelInferenceJobsResponseTypeDef#
# ListTrainedModelInferenceJobsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListTrainedModelInferenceJobsResponseTypeDef
def get_value() -> ListTrainedModelInferenceJobsResponseTypeDef:
return {
"nextToken": ...,
}
# ListTrainedModelInferenceJobsResponseTypeDef definition
class ListTrainedModelInferenceJobsResponseTypeDef(TypedDict):
trainedModelInferenceJobs: List[TrainedModelInferenceJobSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],StartTrainedModelInferenceJobRequestTypeDef#
# StartTrainedModelInferenceJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartTrainedModelInferenceJobRequestTypeDef
def get_value() -> StartTrainedModelInferenceJobRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# StartTrainedModelInferenceJobRequestTypeDef definition
class StartTrainedModelInferenceJobRequestTypeDef(TypedDict):
membershipIdentifier: str,
name: str,
trainedModelArn: str,
resourceConfig: InferenceResourceConfigTypeDef, # (1)
outputConfiguration: InferenceOutputConfigurationUnionTypeDef, # (2)
dataSource: ModelInferenceDataSourceTypeDef, # (3)
configuredModelAlgorithmAssociationArn: NotRequired[str],
description: NotRequired[str],
containerExecutionParameters: NotRequired[InferenceContainerExecutionParametersTypeDef], # (4)
environment: NotRequired[Mapping[str, str]],
kmsKeyArn: NotRequired[str],
tags: NotRequired[Mapping[str, str]],- See InferenceResourceConfigTypeDef
- See InferenceOutputConfigurationTypeDef InferenceOutputConfigurationOutputTypeDef
- See ModelInferenceDataSourceTypeDef
- See InferenceContainerExecutionParametersTypeDef
ListCollaborationTrainedModelExportJobsResponseTypeDef#
# ListCollaborationTrainedModelExportJobsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListCollaborationTrainedModelExportJobsResponseTypeDef
def get_value() -> ListCollaborationTrainedModelExportJobsResponseTypeDef:
return {
"nextToken": ...,
}
# ListCollaborationTrainedModelExportJobsResponseTypeDef definition
class ListCollaborationTrainedModelExportJobsResponseTypeDef(TypedDict):
collaborationTrainedModelExportJobs: List[CollaborationTrainedModelExportJobSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],StartTrainedModelExportJobRequestTypeDef#
# StartTrainedModelExportJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartTrainedModelExportJobRequestTypeDef
def get_value() -> StartTrainedModelExportJobRequestTypeDef:
return {
"name": ...,
}
# StartTrainedModelExportJobRequestTypeDef definition
class StartTrainedModelExportJobRequestTypeDef(TypedDict):
name: str,
trainedModelArn: str,
membershipIdentifier: str,
outputConfiguration: TrainedModelExportOutputConfigurationUnionTypeDef, # (1)
description: NotRequired[str],PrivacyConfigurationOutputTypeDef#
# PrivacyConfigurationOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PrivacyConfigurationOutputTypeDef
def get_value() -> PrivacyConfigurationOutputTypeDef:
return {
"policies": ...,
}
# PrivacyConfigurationOutputTypeDef definition
class PrivacyConfigurationOutputTypeDef(TypedDict):
policies: PrivacyConfigurationPoliciesOutputTypeDef, # (1)PrivacyConfigurationTypeDef#
# PrivacyConfigurationTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import PrivacyConfigurationTypeDef
def get_value() -> PrivacyConfigurationTypeDef:
return {
"policies": ...,
}
# PrivacyConfigurationTypeDef definition
class PrivacyConfigurationTypeDef(TypedDict):
policies: PrivacyConfigurationPoliciesTypeDef, # (1)ListConfiguredAudienceModelsResponseTypeDef#
# ListConfiguredAudienceModelsResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import ListConfiguredAudienceModelsResponseTypeDef
def get_value() -> ListConfiguredAudienceModelsResponseTypeDef:
return {
"nextToken": ...,
}
# ListConfiguredAudienceModelsResponseTypeDef definition
class ListConfiguredAudienceModelsResponseTypeDef(TypedDict):
configuredAudienceModels: List[ConfiguredAudienceModelSummaryTypeDef], # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
nextToken: NotRequired[str],StartAudienceGenerationJobRequestTypeDef#
# StartAudienceGenerationJobRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import StartAudienceGenerationJobRequestTypeDef
def get_value() -> StartAudienceGenerationJobRequestTypeDef:
return {
"name": ...,
}
# StartAudienceGenerationJobRequestTypeDef definition
class StartAudienceGenerationJobRequestTypeDef(TypedDict):
name: str,
configuredAudienceModelArn: str,
seedAudience: AudienceGenerationJobDataSourceUnionTypeDef, # (1)
includeSeedInOutput: NotRequired[bool],
collaborationId: NotRequired[str],
description: NotRequired[str],
tags: NotRequired[Mapping[str, str]],InputChannelOutputTypeDef#
# InputChannelOutputTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InputChannelOutputTypeDef
def get_value() -> InputChannelOutputTypeDef:
return {
"dataSource": ...,
}
# InputChannelOutputTypeDef definition
class InputChannelOutputTypeDef(TypedDict):
dataSource: InputChannelDataSourceOutputTypeDef, # (1)
roleArn: str,InputChannelTypeDef#
# InputChannelTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import InputChannelTypeDef
def get_value() -> InputChannelTypeDef:
return {
"dataSource": ...,
}
# InputChannelTypeDef definition
class InputChannelTypeDef(TypedDict):
dataSource: InputChannelDataSourceTypeDef, # (1)
roleArn: str,GetTrainingDatasetResponseTypeDef#
# GetTrainingDatasetResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetTrainingDatasetResponseTypeDef
def get_value() -> GetTrainingDatasetResponseTypeDef:
return {
"createTime": ...,
}
# GetTrainingDatasetResponseTypeDef definition
class GetTrainingDatasetResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
trainingDatasetArn: str,
name: str,
trainingData: List[DatasetOutputTypeDef], # (1)
status: TrainingDatasetStatusType, # (2)
roleArn: str,
tags: Dict[str, str],
description: str,
ResponseMetadata: ResponseMetadataTypeDef, # (3)DatasetTypeDef#
# DatasetTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import DatasetTypeDef
def get_value() -> DatasetTypeDef:
return {
"type": ...,
}
# DatasetTypeDef definition
class DatasetTypeDef(TypedDict):
type: DatasetTypeType, # (1)
inputConfig: DatasetInputConfigUnionTypeDef, # (2)GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef#
# GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef
def get_value() -> GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef:
return {
"createTime": ...,
}
# GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef definition
class GetCollaborationConfiguredModelAlgorithmAssociationResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmAssociationArn: str,
membershipIdentifier: str,
collaborationIdentifier: str,
configuredModelAlgorithmArn: str,
name: str,
description: str,
creatorAccountId: str,
privacyConfiguration: PrivacyConfigurationOutputTypeDef, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)GetConfiguredModelAlgorithmAssociationResponseTypeDef#
# GetConfiguredModelAlgorithmAssociationResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetConfiguredModelAlgorithmAssociationResponseTypeDef
def get_value() -> GetConfiguredModelAlgorithmAssociationResponseTypeDef:
return {
"createTime": ...,
}
# GetConfiguredModelAlgorithmAssociationResponseTypeDef definition
class GetConfiguredModelAlgorithmAssociationResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
configuredModelAlgorithmAssociationArn: str,
membershipIdentifier: str,
collaborationIdentifier: str,
configuredModelAlgorithmArn: str,
name: str,
privacyConfiguration: PrivacyConfigurationOutputTypeDef, # (1)
description: str,
tags: Dict[str, str],
ResponseMetadata: ResponseMetadataTypeDef, # (2)GetMLInputChannelResponseTypeDef#
# GetMLInputChannelResponseTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import GetMLInputChannelResponseTypeDef
def get_value() -> GetMLInputChannelResponseTypeDef:
return {
"createTime": ...,
}
# GetMLInputChannelResponseTypeDef definition
class GetMLInputChannelResponseTypeDef(TypedDict):
createTime: datetime,
updateTime: datetime,
membershipIdentifier: str,
collaborationIdentifier: str,
inputChannel: InputChannelOutputTypeDef, # (1)
protectedQueryIdentifier: str,
mlInputChannelArn: str,
name: str,
configuredModelAlgorithmAssociations: List[str],
status: MLInputChannelStatusType, # (2)
statusDetails: StatusDetailsTypeDef, # (3)
retentionInDays: int,
numberOfRecords: int,
numberOfFiles: float,
sizeInGb: float,
description: str,
kmsKeyArn: str,
tags: Dict[str, str],
ResponseMetadata: ResponseMetadataTypeDef, # (4)- See InputChannelOutputTypeDef
- See MLInputChannelStatusType
- See StatusDetailsTypeDef
- See ResponseMetadataTypeDef
CreateConfiguredModelAlgorithmAssociationRequestTypeDef#
# CreateConfiguredModelAlgorithmAssociationRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateConfiguredModelAlgorithmAssociationRequestTypeDef
def get_value() -> CreateConfiguredModelAlgorithmAssociationRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# CreateConfiguredModelAlgorithmAssociationRequestTypeDef definition
class CreateConfiguredModelAlgorithmAssociationRequestTypeDef(TypedDict):
membershipIdentifier: str,
configuredModelAlgorithmArn: str,
name: str,
description: NotRequired[str],
privacyConfiguration: NotRequired[PrivacyConfigurationUnionTypeDef], # (1)
tags: NotRequired[Mapping[str, str]],CreateMLInputChannelRequestTypeDef#
# CreateMLInputChannelRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateMLInputChannelRequestTypeDef
def get_value() -> CreateMLInputChannelRequestTypeDef:
return {
"membershipIdentifier": ...,
}
# CreateMLInputChannelRequestTypeDef definition
class CreateMLInputChannelRequestTypeDef(TypedDict):
membershipIdentifier: str,
configuredModelAlgorithmAssociations: Sequence[str],
inputChannel: InputChannelUnionTypeDef, # (1)
name: str,
retentionInDays: int,
description: NotRequired[str],
kmsKeyArn: NotRequired[str],
tags: NotRequired[Mapping[str, str]],CreateTrainingDatasetRequestTypeDef#
# CreateTrainingDatasetRequestTypeDef TypedDict usage example
from types_boto3_cleanroomsml.type_defs import CreateTrainingDatasetRequestTypeDef
def get_value() -> CreateTrainingDatasetRequestTypeDef:
return {
"name": ...,
}
# CreateTrainingDatasetRequestTypeDef definition
class CreateTrainingDatasetRequestTypeDef(TypedDict):
name: str,
roleArn: str,
trainingData: Sequence[DatasetUnionTypeDef], # (1)
tags: NotRequired[Mapping[str, str]],
description: NotRequired[str],