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.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)
]

See AudienceSizeConfigTypeDef
See AudienceSizeConfigOutputTypeDef

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)
]

See ColumnSchemaTypeDef
See ColumnSchemaOutputTypeDef

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)
]

See ContainerConfigTypeDef
See ContainerConfigOutputTypeDef

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)
]

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)
]

See DatasetInputConfigTypeDef
See DatasetInputConfigOutputTypeDef

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)
]

See InputChannelTypeDef
See InputChannelOutputTypeDef

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

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)
]

AccessBudgetDetailsTypeDef#

# AccessBudgetDetailsTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import AccessBudgetDetailsTypeDef


def get_value() -> AccessBudgetDetailsTypeDef:
    return {
        "startTime": ...,
    }


# AccessBudgetDetailsTypeDef definition

class AccessBudgetDetailsTypeDef(TypedDict):
    startTime: datetime.datetime,
    remainingBudget: int,
    budget: int,
    budgetType: AccessBudgetTypeType,  # (1)
    endTime: NotRequired[datetime.datetime],
    autoRefresh: NotRequired[AutoRefreshModeType],  # (2)

See AccessBudgetTypeType
See AutoRefreshModeType

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,

See AudienceSizeTypeType

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.datetime,
    updateTime: datetime.datetime,
    audienceGenerationJobArn: str,
    name: str,
    status: AudienceGenerationJobStatusType,  # (1)
    configuredAudienceModelArn: str,
    description: NotRequired[str],
    collaborationId: NotRequired[str],
    startedBy: NotRequired[str],

See AudienceGenerationJobStatusType

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.datetime,
    updateTime: datetime.datetime,
    audienceModelArn: str,
    name: str,
    trainingDatasetArn: str,
    status: AudienceModelStatusType,  # (1)
    description: NotRequired[str],

See AudienceModelStatusType

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],

See AudienceSizeTypeType

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],

See AudienceSizeTypeType

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,
    versionIdentifier: NotRequired[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.datetime,
    updateTime: datetime.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.datetime,
    updateTime: datetime.datetime,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    name: str,
    configuredModelAlgorithmAssociations: List[str],
    mlInputChannelArn: str,
    status: MLInputChannelStatusType,  # (1)
    creatorAccountId: str,
    description: NotRequired[str],

See MLInputChannelStatusType

IncrementalTrainingDataChannelOutputTypeDef#

# IncrementalTrainingDataChannelOutputTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import IncrementalTrainingDataChannelOutputTypeDef


def get_value() -> IncrementalTrainingDataChannelOutputTypeDef:
    return {
        "channelName": ...,
    }


# IncrementalTrainingDataChannelOutputTypeDef definition

class IncrementalTrainingDataChannelOutputTypeDef(TypedDict):
    channelName: str,
    modelName: str,
    versionIdentifier: 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 List[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 Sequence[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],

See WorkerComputeTypeType

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.datetime,
    updateTime: datetime.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.datetime,
    updateTime: datetime.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,

IncrementalTrainingDataChannelTypeDef#

# IncrementalTrainingDataChannelTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import IncrementalTrainingDataChannelTypeDef


def get_value() -> IncrementalTrainingDataChannelTypeDef:
    return {
        "trainedModelArn": ...,
    }


# IncrementalTrainingDataChannelTypeDef definition

class IncrementalTrainingDataChannelTypeDef(TypedDict):
    trainedModelArn: str,
    channelName: str,
    versionIdentifier: NotRequired[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,
    s3DataDistributionType: NotRequired[S3DataDistributionTypeType],  # (1)

See S3DataDistributionTypeType

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],

CustomEntityConfigOutputTypeDef#

# CustomEntityConfigOutputTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import CustomEntityConfigOutputTypeDef


def get_value() -> CustomEntityConfigOutputTypeDef:
    return {
        "customDataIdentifiers": ...,
    }


# CustomEntityConfigOutputTypeDef definition

class CustomEntityConfigOutputTypeDef(TypedDict):
    customDataIdentifiers: List[str],

CustomEntityConfigTypeDef#

# CustomEntityConfigTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import CustomEntityConfigTypeDef


def get_value() -> CustomEntityConfigTypeDef:
    return {
        "customDataIdentifiers": ...,
    }


# CustomEntityConfigTypeDef definition

class CustomEntityConfigTypeDef(TypedDict):
    customDataIdentifiers: Sequence[str],

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,
    versionIdentifier: NotRequired[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,
    versionIdentifier: NotRequired[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],

See InferenceInstanceTypeType

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,
    versionIdentifier: NotRequired[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],
    trainedModelVersionIdentifier: NotRequired[str],

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],
    trainedModelVersionIdentifier: 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.datetime,
    updateTime: datetime.datetime,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    name: str,
    configuredModelAlgorithmAssociations: List[str],
    mlInputChannelArn: str,
    status: MLInputChannelStatusType,  # (1)
    protectedQueryIdentifier: NotRequired[str],
    description: NotRequired[str],

See MLInputChannelStatusType

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],
    trainedModelVersionIdentifier: NotRequired[str],

ListTrainedModelVersionsRequestTypeDef#

# ListTrainedModelVersionsRequestTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import ListTrainedModelVersionsRequestTypeDef


def get_value() -> ListTrainedModelVersionsRequestTypeDef:
    return {
        "membershipIdentifier": ...,
    }


# ListTrainedModelVersionsRequestTypeDef definition

class ListTrainedModelVersionsRequestTypeDef(TypedDict):
    membershipIdentifier: str,
    trainedModelArn: str,
    nextToken: NotRequired[str],
    maxResults: NotRequired[int],
    status: NotRequired[TrainedModelStatusType],  # (1)

See TrainedModelStatusType

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],

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.datetime,
    updateTime: datetime.datetime,
    trainingDatasetArn: str,
    name: str,
    status: TrainingDatasetStatusType,  # (1)
    description: NotRequired[str],

See TrainingDatasetStatusType

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)

See NoiseLevelTypeType

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)

See PolicyExistenceConditionType

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],

TrainedModelArtifactMaxSizeTypeDef#

# TrainedModelArtifactMaxSizeTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import TrainedModelArtifactMaxSizeTypeDef


def get_value() -> TrainedModelArtifactMaxSizeTypeDef:
    return {
        "unit": ...,
    }


# TrainedModelArtifactMaxSizeTypeDef definition

class TrainedModelArtifactMaxSizeTypeDef(TypedDict):
    unit: TrainedModelArtifactMaxSizeUnitTypeType,  # (1)
    value: float,

See TrainedModelArtifactMaxSizeUnitTypeType

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,

See TrainedModelExportsMaxSizeUnitTypeType

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,

See TrainedModelInferenceMaxOutputSizeUnitTypeType

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],

AccessBudgetTypeDef#

# AccessBudgetTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import AccessBudgetTypeDef


def get_value() -> AccessBudgetTypeDef:
    return {
        "resourceArn": ...,
    }


# AccessBudgetTypeDef definition

class AccessBudgetTypeDef(TypedDict):
    resourceArn: str,
    details: List[AccessBudgetDetailsTypeDef],  # (1)
    aggregateRemainingBudget: int,

See List[AccessBudgetDetailsTypeDef]

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)

See S3ConfigMapTypeDef

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)

See S3ConfigMapTypeDef

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],

See AudienceSizeTypeDef

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],

See AudienceSizeTypeDef

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.datetime,
    updateTime: datetime.datetime,
    name: str,
    audienceGenerationJobArn: str,
    audienceSize: AudienceSizeTypeDef,  # (1)
    status: AudienceExportJobStatusType,  # (2)
    description: NotRequired[str],
    statusDetails: NotRequired[StatusDetailsTypeDef],  # (3)
    outputLocation: 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.datetime,
    updateTime: datetime.datetime,
    trainedModelArn: str,
    name: str,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    status: TrainedModelStatusType,  # (2)
    configuredModelAlgorithmAssociationArn: str,
    creatorAccountId: str,
    versionIdentifier: NotRequired[str],
    incrementalTrainingDataChannels: NotRequired[List[IncrementalTrainingDataChannelOutputTypeDef]],  # (1)
    description: NotRequired[str],

See List[IncrementalTrainingDataChannelOutputTypeDef]
See TrainedModelStatusType

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.datetime,
    updateTime: datetime.datetime,
    trainedModelArn: str,
    name: str,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    status: TrainedModelStatusType,  # (2)
    configuredModelAlgorithmAssociationArn: str,
    versionIdentifier: NotRequired[str],
    incrementalTrainingDataChannels: NotRequired[List[IncrementalTrainingDataChannelOutputTypeDef]],  # (1)
    description: NotRequired[str],

See List[IncrementalTrainingDataChannelOutputTypeDef]
See TrainedModelStatusType

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)

See WorkerComputeConfigurationTypeDef

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)

See List[MetricDefinitionTypeDef]

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)

See Sequence[MetricDefinitionTypeDef]

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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,
    versionIdentifier: str,
    ResponseMetadata: ResponseMetadataTypeDef,  # (1)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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.datetime,
    updateTime: datetime.datetime,
    trainingDataStartTime: datetime.datetime,
    trainingDataEndTime: datetime.datetime,
    audienceModelArn: str,
    name: str,
    trainingDatasetArn: str,
    status: AudienceModelStatusType,  # (1)
    statusDetails: StatusDetailsTypeDef,  # (2)
    kmsKeyArn: str,
    tags: Dict[str, str],
    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)

See ResponseMetadataTypeDef

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],

See List[AudienceGenerationJobSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[AudienceModelSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[CollaborationConfiguredModelAlgorithmAssociationSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[CollaborationMLInputChannelSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[ConfiguredModelAlgorithmAssociationSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[ConfiguredModelAlgorithmSummaryTypeDef]
See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)

See ResponseMetadataTypeDef

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)
    incrementalTrainingDataChannels: NotRequired[Sequence[IncrementalTrainingDataChannelTypeDef]],  # (4)
    trainingInputMode: NotRequired[TrainingInputModeType],  # (5)
    description: NotRequired[str],
    kmsKeyArn: NotRequired[str],
    tags: NotRequired[Mapping[str, str]],

See ResourceConfigTypeDef
See Sequence[ModelTrainingDataChannelTypeDef]
See StoppingConditionTypeDef
See Sequence[IncrementalTrainingDataChannelTypeDef]
See TrainingInputModeType

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,
    versionIdentifier: str,
    incrementalTrainingDataChannels: List[IncrementalTrainingDataChannelOutputTypeDef],  # (1)
    name: str,
    description: str,
    status: TrainedModelStatusType,  # (2)
    statusDetails: StatusDetailsTypeDef,  # (3)
    configuredModelAlgorithmAssociationArn: str,
    resourceConfig: ResourceConfigTypeDef,  # (4)
    trainingInputMode: TrainingInputModeType,  # (5)
    stoppingCondition: StoppingConditionTypeDef,  # (6)
    metricsStatus: MetricsStatusType,  # (7)
    metricsStatusDetails: str,
    logsStatus: LogsStatusType,  # (8)
    logsStatusDetails: str,
    trainingContainerImageDigest: str,
    createTime: datetime.datetime,
    updateTime: datetime.datetime,
    creatorAccountId: str,
    ResponseMetadata: ResponseMetadataTypeDef,  # (9)

See List[IncrementalTrainingDataChannelOutputTypeDef]
See TrainedModelStatusType
See StatusDetailsTypeDef
See ResourceConfigTypeDef
See TrainingInputModeType
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,
    versionIdentifier: str,
    incrementalTrainingDataChannels: List[IncrementalTrainingDataChannelOutputTypeDef],  # (1)
    name: str,
    description: str,
    status: TrainedModelStatusType,  # (2)
    statusDetails: StatusDetailsTypeDef,  # (3)
    configuredModelAlgorithmAssociationArn: str,
    resourceConfig: ResourceConfigTypeDef,  # (4)
    trainingInputMode: TrainingInputModeType,  # (5)
    stoppingCondition: StoppingConditionTypeDef,  # (6)
    metricsStatus: MetricsStatusType,  # (7)
    metricsStatusDetails: str,
    logsStatus: LogsStatusType,  # (8)
    logsStatusDetails: str,
    trainingContainerImageDigest: str,
    createTime: datetime.datetime,
    updateTime: datetime.datetime,
    hyperparameters: Dict[str, str],
    environment: Dict[str, str],
    kmsKeyArn: str,
    tags: Dict[str, str],
    dataChannels: List[ModelTrainingDataChannelTypeDef],  # (9)
    ResponseMetadata: ResponseMetadataTypeDef,  # (10)

See List[IncrementalTrainingDataChannelOutputTypeDef]
See TrainedModelStatusType
See StatusDetailsTypeDef
See ResourceConfigTypeDef
See TrainingInputModeType
See StoppingConditionTypeDef
See MetricsStatusType
See LogsStatusType
See List[ModelTrainingDataChannelTypeDef]
See ResponseMetadataTypeDef

LogRedactionConfigurationOutputTypeDef#

# LogRedactionConfigurationOutputTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import LogRedactionConfigurationOutputTypeDef


def get_value() -> LogRedactionConfigurationOutputTypeDef:
    return {
        "entitiesToRedact": ...,
    }


# LogRedactionConfigurationOutputTypeDef definition

class LogRedactionConfigurationOutputTypeDef(TypedDict):
    entitiesToRedact: List[EntityTypeType],  # (1)
    customEntityConfig: NotRequired[CustomEntityConfigOutputTypeDef],  # (2)

See List[EntityTypeType]
See CustomEntityConfigOutputTypeDef

LogRedactionConfigurationTypeDef#

# LogRedactionConfigurationTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import LogRedactionConfigurationTypeDef


def get_value() -> LogRedactionConfigurationTypeDef:
    return {
        "entitiesToRedact": ...,
    }


# LogRedactionConfigurationTypeDef definition

class LogRedactionConfigurationTypeDef(TypedDict):
    entitiesToRedact: Sequence[EntityTypeType],  # (1)
    customEntityConfig: NotRequired[CustomEntityConfigTypeDef],  # (2)

See Sequence[EntityTypeType]
See CustomEntityConfigTypeDef

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)

See GlueDataSourceTypeDef

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],

See List[InferenceReceiverMemberTypeDef]

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],

See Sequence[InferenceReceiverMemberTypeDef]

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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,
    trainedModelVersionIdentifier: NotRequired[str],
    PaginationConfig: NotRequired[PaginatorConfigTypeDef],  # (1)

See PaginatorConfigTypeDef

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],
    trainedModelVersionIdentifier: NotRequired[str],
    PaginationConfig: NotRequired[PaginatorConfigTypeDef],  # (1)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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],
    trainedModelVersionIdentifier: NotRequired[str],
    PaginationConfig: NotRequired[PaginatorConfigTypeDef],  # (1)

See PaginatorConfigTypeDef

ListTrainedModelVersionsRequestPaginateTypeDef#

# ListTrainedModelVersionsRequestPaginateTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import ListTrainedModelVersionsRequestPaginateTypeDef


def get_value() -> ListTrainedModelVersionsRequestPaginateTypeDef:
    return {
        "membershipIdentifier": ...,
    }


# ListTrainedModelVersionsRequestPaginateTypeDef definition

class ListTrainedModelVersionsRequestPaginateTypeDef(TypedDict):
    membershipIdentifier: str,
    trainedModelArn: str,
    status: NotRequired[TrainedModelStatusType],  # (1)
    PaginationConfig: NotRequired[PaginatorConfigTypeDef],  # (2)

See TrainedModelStatusType
See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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)

See PaginatorConfigTypeDef

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],

See List[MLInputChannelSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[TrainingDatasetSummaryTypeDef]
See ResponseMetadataTypeDef

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)

See List[TrainedModelExportReceiverMemberTypeDef]

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)

See Sequence[TrainedModelExportReceiverMemberTypeDef]

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)

See TrainedModelExportsMaxSizeTypeDef
See List[TrainedModelExportFileTypeType]

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)

See TrainedModelExportsMaxSizeTypeDef
See Sequence[TrainedModelExportFileTypeType]

PrivacyBudgetsTypeDef#

# PrivacyBudgetsTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import PrivacyBudgetsTypeDef


def get_value() -> PrivacyBudgetsTypeDef:
    return {
        "accessBudgets": ...,
    }


# PrivacyBudgetsTypeDef definition

class PrivacyBudgetsTypeDef(TypedDict):
    accessBudgets: NotRequired[List[AccessBudgetTypeDef]],  # (1)

See List[AccessBudgetTypeDef]

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,

See AudienceDestinationTypeDef

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)

See DestinationTypeDef

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],

See List[RelevanceMetricTypeDef]

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],

See List[AudienceExportJobSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[CollaborationTrainedModelSummaryTypeDef]
See ResponseMetadataTypeDef

ListTrainedModelVersionsResponseTypeDef#

# ListTrainedModelVersionsResponseTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import ListTrainedModelVersionsResponseTypeDef


def get_value() -> ListTrainedModelVersionsResponseTypeDef:
    return {
        "nextToken": ...,
    }


# ListTrainedModelVersionsResponseTypeDef definition

class ListTrainedModelVersionsResponseTypeDef(TypedDict):
    trainedModels: List[TrainedModelSummaryTypeDef],  # (1)
    ResponseMetadata: ResponseMetadataTypeDef,  # (2)
    nextToken: NotRequired[str],

See List[TrainedModelSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[TrainedModelSummaryTypeDef]
See ResponseMetadataTypeDef

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)

See S3ConfigMapTypeDef
See ProtectedQuerySQLParametersOutputTypeDef
See ComputeConfigurationTypeDef

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)
    resultFormat: NotRequired[ResultFormatType],  # (3)

See ProtectedQuerySQLParametersOutputTypeDef
See ComputeConfigurationTypeDef
See ResultFormatType

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)
    resultFormat: NotRequired[ResultFormatType],  # (3)

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.datetime,
    updateTime: datetime.datetime,
    configuredModelAlgorithmArn: str,
    name: str,
    trainingContainerConfig: ContainerConfigOutputTypeDef,  # (1)
    inferenceContainerConfig: InferenceContainerConfigTypeDef,  # (2)
    roleArn: str,
    description: str,
    tags: Dict[str, str],
    kmsKeyArn: str,
    ResponseMetadata: ResponseMetadataTypeDef,  # (3)

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],
    logType: NotRequired[LogTypeType],  # (1)
    logRedactionConfiguration: NotRequired[LogRedactionConfigurationOutputTypeDef],  # (2)

See LogTypeType
See LogRedactionConfigurationOutputTypeDef

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],
    logType: NotRequired[LogTypeType],  # (1)
    logRedactionConfiguration: NotRequired[LogRedactionConfigurationTypeDef],  # (2)

See LogTypeType
See LogRedactionConfigurationTypeDef

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)

See List[ColumnSchemaOutputTypeDef]
See DataSourceTypeDef

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)

See Sequence[ColumnSchemaUnionTypeDef]
See DataSourceTypeDef

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.datetime,
    updateTime: datetime.datetime,
    creatorAccountId: str,
    configuredModelAlgorithmAssociationArn: NotRequired[str],
    trainedModelVersionIdentifier: 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.datetime,
    updateTime: datetime.datetime,
    trainedModelInferenceJobArn: str,
    configuredModelAlgorithmAssociationArn: str,
    name: str,
    status: TrainedModelInferenceJobStatusType,  # (1)
    trainedModelArn: str,
    trainedModelVersionIdentifier: 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.datetime,
    updateTime: datetime.datetime,
    configuredModelAlgorithmAssociationArn: NotRequired[str],
    trainedModelVersionIdentifier: 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.datetime,
    updateTime: datetime.datetime,
    name: str,
    outputConfiguration: TrainedModelExportOutputConfigurationOutputTypeDef,  # (1)
    status: TrainedModelExportJobStatusType,  # (2)
    creatorAccountId: str,
    trainedModelArn: str,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    statusDetails: NotRequired[StatusDetailsTypeDef],  # (3)
    description: NotRequired[str],
    trainedModelVersionIdentifier: NotRequired[str],

GetCollaborationMLInputChannelResponseTypeDef#

# GetCollaborationMLInputChannelResponseTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import GetCollaborationMLInputChannelResponseTypeDef


def get_value() -> GetCollaborationMLInputChannelResponseTypeDef:
    return {
        "membershipIdentifier": ...,
    }


# GetCollaborationMLInputChannelResponseTypeDef definition

class GetCollaborationMLInputChannelResponseTypeDef(TypedDict):
    membershipIdentifier: str,
    collaborationIdentifier: str,
    mlInputChannelArn: str,
    name: str,
    configuredModelAlgorithmAssociations: List[str],
    status: MLInputChannelStatusType,  # (1)
    statusDetails: StatusDetailsTypeDef,  # (2)
    retentionInDays: int,
    numberOfRecords: int,
    privacyBudgets: PrivacyBudgetsTypeDef,  # (3)
    description: str,
    createTime: datetime.datetime,
    updateTime: datetime.datetime,
    creatorAccountId: str,
    ResponseMetadata: ResponseMetadataTypeDef,  # (4)

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.datetime,
    updateTime: datetime.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 Sequence[SharedAudienceMetricsType]
See AudienceSizeConfigUnionTypeDef
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.datetime,
    updateTime: datetime.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 List[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 Sequence[SharedAudienceMetricsType]
See AudienceSizeConfigUnionTypeDef

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.datetime,
    updateTime: datetime.datetime,
    ResponseMetadata: ResponseMetadataTypeDef,  # (2)

See MLOutputConfigurationTypeDef
See ResponseMetadataTypeDef

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)

See MLOutputConfigurationTypeDef

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.datetime,
    updateTime: datetime.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)

See ProtectedQueryInputParametersOutputTypeDef

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)

See ProtectedQueryInputParametersTypeDef

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],

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)

See List[LogsConfigurationPolicyOutputTypeDef]
See TrainedModelInferenceMaxOutputSizeTypeDef

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)
    maxArtifactSize: NotRequired[TrainedModelArtifactMaxSizeTypeDef],  # (3)

See List[LogsConfigurationPolicyOutputTypeDef]
See MetricsConfigurationPolicyTypeDef
See TrainedModelArtifactMaxSizeTypeDef

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)

See Sequence[LogsConfigurationPolicyTypeDef]
See TrainedModelInferenceMaxOutputSizeTypeDef

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)
    maxArtifactSize: NotRequired[TrainedModelArtifactMaxSizeTypeDef],  # (3)

See Sequence[LogsConfigurationPolicyTypeDef]
See MetricsConfigurationPolicyTypeDef
See TrainedModelArtifactMaxSizeTypeDef

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)

See DatasetTypeType
See DatasetInputConfigOutputTypeDef

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],

See List[CollaborationTrainedModelInferenceJobSummaryTypeDef]
See ResponseMetadataTypeDef

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],

See List[TrainedModelInferenceJobSummaryTypeDef]
See ResponseMetadataTypeDef

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)
    trainedModelVersionIdentifier: NotRequired[str],
    configuredModelAlgorithmAssociationArn: NotRequired[str],
    description: NotRequired[str],
    containerExecutionParameters: NotRequired[InferenceContainerExecutionParametersTypeDef],  # (4)
    environment: NotRequired[Mapping[str, str]],
    kmsKeyArn: NotRequired[str],
    tags: NotRequired[Mapping[str, str]],

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],

See List[CollaborationTrainedModelExportJobSummaryTypeDef]
See ResponseMetadataTypeDef

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)
    trainedModelVersionIdentifier: NotRequired[str],
    description: NotRequired[str],

See TrainedModelExportOutputConfigurationUnionTypeDef

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],

See List[ConfiguredAudienceModelSummaryTypeDef]
See ResponseMetadataTypeDef

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]],

See AudienceGenerationJobDataSourceUnionTypeDef

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,

See InputChannelDataSourceOutputTypeDef

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,

See InputChannelDataSourceTypeDef

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)

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)

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.datetime,
    updateTime: datetime.datetime,
    trainingDatasetArn: str,
    name: str,
    trainingData: List[DatasetOutputTypeDef],  # (1)
    status: TrainingDatasetStatusType,  # (2)
    roleArn: str,
    tags: Dict[str, str],
    description: str,
    ResponseMetadata: ResponseMetadataTypeDef,  # (3)

See List[DatasetOutputTypeDef]
See TrainingDatasetStatusType
See ResponseMetadataTypeDef

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)

See DatasetTypeType
See DatasetInputConfigUnionTypeDef

GetMLInputChannelResponseTypeDef#

# GetMLInputChannelResponseTypeDef TypedDict usage example

from types_boto3_cleanroomsml.type_defs import GetMLInputChannelResponseTypeDef


def get_value() -> GetMLInputChannelResponseTypeDef:
    return {
        "membershipIdentifier": ...,
    }


# GetMLInputChannelResponseTypeDef definition

class GetMLInputChannelResponseTypeDef(TypedDict):
    membershipIdentifier: str,
    collaborationIdentifier: str,
    mlInputChannelArn: str,
    name: str,
    configuredModelAlgorithmAssociations: List[str],
    status: MLInputChannelStatusType,  # (1)
    statusDetails: StatusDetailsTypeDef,  # (2)
    retentionInDays: int,
    numberOfRecords: int,
    privacyBudgets: PrivacyBudgetsTypeDef,  # (3)
    description: str,
    createTime: datetime.datetime,
    updateTime: datetime.datetime,
    inputChannel: InputChannelOutputTypeDef,  # (4)
    protectedQueryIdentifier: str,
    numberOfFiles: float,
    sizeInGb: float,
    kmsKeyArn: str,
    tags: Dict[str, str],
    ResponseMetadata: ResponseMetadataTypeDef,  # (5)

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)

See PrivacyConfigurationPoliciesOutputTypeDef

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)

See PrivacyConfigurationPoliciesTypeDef

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]],

See InputChannelUnionTypeDef

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.datetime,
    updateTime: datetime.datetime,
    configuredModelAlgorithmAssociationArn: str,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    configuredModelAlgorithmArn: str,
    name: str,
    description: str,
    creatorAccountId: str,
    privacyConfiguration: PrivacyConfigurationOutputTypeDef,  # (1)
    ResponseMetadata: ResponseMetadataTypeDef,  # (2)

See PrivacyConfigurationOutputTypeDef
See ResponseMetadataTypeDef

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.datetime,
    updateTime: datetime.datetime,
    configuredModelAlgorithmAssociationArn: str,
    membershipIdentifier: str,
    collaborationIdentifier: str,
    configuredModelAlgorithmArn: str,
    name: str,
    privacyConfiguration: PrivacyConfigurationOutputTypeDef,  # (1)
    description: str,
    tags: Dict[str, str],
    ResponseMetadata: ResponseMetadataTypeDef,  # (2)

See PrivacyConfigurationOutputTypeDef
See ResponseMetadataTypeDef

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],

See Sequence[DatasetUnionTypeDef]

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]],

See PrivacyConfigurationUnionTypeDef