Typed dictionaries
Index > MachineLearning > Typed dictionaries
Auto-generated documentation for MachineLearning type annotations stubs module mypy-boto3-machinelearning.
TagTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import TagTypeDef
def get_value() -> TagTypeDef:
return {
"Key": ...,
}
ResponseMetadataTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import ResponseMetadataTypeDef
def get_value() -> ResponseMetadataTypeDef:
return {
"RequestId": ...,
"HostId": ...,
"HTTPStatusCode": ...,
"HTTPHeaders": ...,
"RetryAttempts": ...,
}
Definition
class ResponseMetadataTypeDef(TypedDict):
RequestId: str,
HostId: str,
HTTPStatusCode: int,
HTTPHeaders: Dict[str, str],
RetryAttempts: int,
BatchPredictionTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import BatchPredictionTypeDef
def get_value() -> BatchPredictionTypeDef:
return {
"BatchPredictionId": ...,
}
Definition
class BatchPredictionTypeDef(TypedDict):
BatchPredictionId: NotRequired[str],
MLModelId: NotRequired[str],
BatchPredictionDataSourceId: NotRequired[str],
InputDataLocationS3: NotRequired[str],
CreatedByIamUser: NotRequired[str],
CreatedAt: NotRequired[datetime],
LastUpdatedAt: NotRequired[datetime],
Name: NotRequired[str],
Status: NotRequired[EntityStatusType], # (1)
OutputUri: NotRequired[str],
Message: NotRequired[str],
ComputeTime: NotRequired[int],
FinishedAt: NotRequired[datetime],
StartedAt: NotRequired[datetime],
TotalRecordCount: NotRequired[int],
InvalidRecordCount: NotRequired[int],
- See EntityStatusType
CreateBatchPredictionInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateBatchPredictionInputRequestTypeDef
def get_value() -> CreateBatchPredictionInputRequestTypeDef:
return {
"BatchPredictionId": ...,
"MLModelId": ...,
"BatchPredictionDataSourceId": ...,
"OutputUri": ...,
}
Definition
class CreateBatchPredictionInputRequestTypeDef(TypedDict):
BatchPredictionId: str,
MLModelId: str,
BatchPredictionDataSourceId: str,
OutputUri: str,
BatchPredictionName: NotRequired[str],
S3DataSpecTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import S3DataSpecTypeDef
def get_value() -> S3DataSpecTypeDef:
return {
"DataLocationS3": ...,
}
Definition
class S3DataSpecTypeDef(TypedDict):
DataLocationS3: str,
DataRearrangement: NotRequired[str],
DataSchema: NotRequired[str],
DataSchemaLocationS3: NotRequired[str],
CreateEvaluationInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateEvaluationInputRequestTypeDef
def get_value() -> CreateEvaluationInputRequestTypeDef:
return {
"EvaluationId": ...,
"MLModelId": ...,
"EvaluationDataSourceId": ...,
}
Definition
class CreateEvaluationInputRequestTypeDef(TypedDict):
EvaluationId: str,
MLModelId: str,
EvaluationDataSourceId: str,
EvaluationName: NotRequired[str],
CreateMLModelInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateMLModelInputRequestTypeDef
def get_value() -> CreateMLModelInputRequestTypeDef:
return {
"MLModelId": ...,
"MLModelType": ...,
"TrainingDataSourceId": ...,
}
Definition
class CreateMLModelInputRequestTypeDef(TypedDict):
MLModelId: str,
MLModelType: MLModelTypeType, # (1)
TrainingDataSourceId: str,
MLModelName: NotRequired[str],
Parameters: NotRequired[Mapping[str, str]],
Recipe: NotRequired[str],
RecipeUri: NotRequired[str],
- See MLModelTypeType
CreateRealtimeEndpointInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateRealtimeEndpointInputRequestTypeDef
def get_value() -> CreateRealtimeEndpointInputRequestTypeDef:
return {
"MLModelId": ...,
}
RealtimeEndpointInfoTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RealtimeEndpointInfoTypeDef
def get_value() -> RealtimeEndpointInfoTypeDef:
return {
"PeakRequestsPerSecond": ...,
}
Definition
class RealtimeEndpointInfoTypeDef(TypedDict):
PeakRequestsPerSecond: NotRequired[int],
CreatedAt: NotRequired[datetime],
EndpointUrl: NotRequired[str],
EndpointStatus: NotRequired[RealtimeEndpointStatusType], # (1)
DeleteBatchPredictionInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteBatchPredictionInputRequestTypeDef
def get_value() -> DeleteBatchPredictionInputRequestTypeDef:
return {
"BatchPredictionId": ...,
}
DeleteDataSourceInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteDataSourceInputRequestTypeDef
def get_value() -> DeleteDataSourceInputRequestTypeDef:
return {
"DataSourceId": ...,
}
DeleteEvaluationInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteEvaluationInputRequestTypeDef
def get_value() -> DeleteEvaluationInputRequestTypeDef:
return {
"EvaluationId": ...,
}
DeleteMLModelInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteMLModelInputRequestTypeDef
def get_value() -> DeleteMLModelInputRequestTypeDef:
return {
"MLModelId": ...,
}
DeleteRealtimeEndpointInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteRealtimeEndpointInputRequestTypeDef
def get_value() -> DeleteRealtimeEndpointInputRequestTypeDef:
return {
"MLModelId": ...,
}
DeleteTagsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteTagsInputRequestTypeDef
def get_value() -> DeleteTagsInputRequestTypeDef:
return {
"TagKeys": ...,
"ResourceId": ...,
"ResourceType": ...,
}
Definition
class DeleteTagsInputRequestTypeDef(TypedDict):
TagKeys: Sequence[str],
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (1)
WaiterConfigTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import WaiterConfigTypeDef
def get_value() -> WaiterConfigTypeDef:
return {
"Delay": ...,
}
Definition
class WaiterConfigTypeDef(TypedDict):
Delay: NotRequired[int],
MaxAttempts: NotRequired[int],
PaginatorConfigTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import PaginatorConfigTypeDef
def get_value() -> PaginatorConfigTypeDef:
return {
"MaxItems": ...,
}
Definition
class PaginatorConfigTypeDef(TypedDict):
MaxItems: NotRequired[int],
PageSize: NotRequired[int],
StartingToken: NotRequired[str],
DescribeBatchPredictionsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeBatchPredictionsInputRequestTypeDef
def get_value() -> DescribeBatchPredictionsInputRequestTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeBatchPredictionsInputRequestTypeDef(TypedDict):
FilterVariable: NotRequired[BatchPredictionFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
DescribeDataSourcesInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeDataSourcesInputRequestTypeDef
def get_value() -> DescribeDataSourcesInputRequestTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeDataSourcesInputRequestTypeDef(TypedDict):
FilterVariable: NotRequired[DataSourceFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
DescribeEvaluationsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeEvaluationsInputRequestTypeDef
def get_value() -> DescribeEvaluationsInputRequestTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeEvaluationsInputRequestTypeDef(TypedDict):
FilterVariable: NotRequired[EvaluationFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
DescribeMLModelsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeMLModelsInputRequestTypeDef
def get_value() -> DescribeMLModelsInputRequestTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeMLModelsInputRequestTypeDef(TypedDict):
FilterVariable: NotRequired[MLModelFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
DescribeTagsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeTagsInputRequestTypeDef
def get_value() -> DescribeTagsInputRequestTypeDef:
return {
"ResourceId": ...,
"ResourceType": ...,
}
Definition
class DescribeTagsInputRequestTypeDef(TypedDict):
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (1)
PerformanceMetricsTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import PerformanceMetricsTypeDef
def get_value() -> PerformanceMetricsTypeDef:
return {
"Properties": ...,
}
GetBatchPredictionInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetBatchPredictionInputRequestTypeDef
def get_value() -> GetBatchPredictionInputRequestTypeDef:
return {
"BatchPredictionId": ...,
}
GetDataSourceInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetDataSourceInputRequestTypeDef
def get_value() -> GetDataSourceInputRequestTypeDef:
return {
"DataSourceId": ...,
}
Definition
class GetDataSourceInputRequestTypeDef(TypedDict):
DataSourceId: str,
Verbose: NotRequired[bool],
GetEvaluationInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetEvaluationInputRequestTypeDef
def get_value() -> GetEvaluationInputRequestTypeDef:
return {
"EvaluationId": ...,
}
GetMLModelInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetMLModelInputRequestTypeDef
def get_value() -> GetMLModelInputRequestTypeDef:
return {
"MLModelId": ...,
}
Definition
class GetMLModelInputRequestTypeDef(TypedDict):
MLModelId: str,
Verbose: NotRequired[bool],
PredictInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import PredictInputRequestTypeDef
def get_value() -> PredictInputRequestTypeDef:
return {
"MLModelId": ...,
"Record": ...,
"PredictEndpoint": ...,
}
Definition
class PredictInputRequestTypeDef(TypedDict):
MLModelId: str,
Record: Mapping[str, str],
PredictEndpoint: str,
PredictionTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import PredictionTypeDef
def get_value() -> PredictionTypeDef:
return {
"predictedLabel": ...,
}
Definition
class PredictionTypeDef(TypedDict):
predictedLabel: NotRequired[str],
predictedValue: NotRequired[float],
predictedScores: NotRequired[Dict[str, float]],
details: NotRequired[Dict[DetailsAttributesType, str]], # (1)
RDSDatabaseCredentialsTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RDSDatabaseCredentialsTypeDef
def get_value() -> RDSDatabaseCredentialsTypeDef:
return {
"Username": ...,
"Password": ...,
}
RDSDatabaseTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RDSDatabaseTypeDef
def get_value() -> RDSDatabaseTypeDef:
return {
"InstanceIdentifier": ...,
"DatabaseName": ...,
}
RedshiftDatabaseCredentialsTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RedshiftDatabaseCredentialsTypeDef
def get_value() -> RedshiftDatabaseCredentialsTypeDef:
return {
"Username": ...,
"Password": ...,
}
RedshiftDatabaseTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RedshiftDatabaseTypeDef
def get_value() -> RedshiftDatabaseTypeDef:
return {
"DatabaseName": ...,
"ClusterIdentifier": ...,
}
UpdateBatchPredictionInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateBatchPredictionInputRequestTypeDef
def get_value() -> UpdateBatchPredictionInputRequestTypeDef:
return {
"BatchPredictionId": ...,
"BatchPredictionName": ...,
}
Definition
class UpdateBatchPredictionInputRequestTypeDef(TypedDict):
BatchPredictionId: str,
BatchPredictionName: str,
UpdateDataSourceInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateDataSourceInputRequestTypeDef
def get_value() -> UpdateDataSourceInputRequestTypeDef:
return {
"DataSourceId": ...,
"DataSourceName": ...,
}
Definition
class UpdateDataSourceInputRequestTypeDef(TypedDict):
DataSourceId: str,
DataSourceName: str,
UpdateEvaluationInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateEvaluationInputRequestTypeDef
def get_value() -> UpdateEvaluationInputRequestTypeDef:
return {
"EvaluationId": ...,
"EvaluationName": ...,
}
Definition
class UpdateEvaluationInputRequestTypeDef(TypedDict):
EvaluationId: str,
EvaluationName: str,
UpdateMLModelInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateMLModelInputRequestTypeDef
def get_value() -> UpdateMLModelInputRequestTypeDef:
return {
"MLModelId": ...,
}
Definition
class UpdateMLModelInputRequestTypeDef(TypedDict):
MLModelId: str,
MLModelName: NotRequired[str],
ScoreThreshold: NotRequired[float],
AddTagsInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import AddTagsInputRequestTypeDef
def get_value() -> AddTagsInputRequestTypeDef:
return {
"Tags": ...,
"ResourceId": ...,
"ResourceType": ...,
}
Definition
class AddTagsInputRequestTypeDef(TypedDict):
Tags: Sequence[TagTypeDef], # (1)
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (2)
- See TagTypeDef
- See TaggableResourceTypeType
AddTagsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import AddTagsOutputTypeDef
def get_value() -> AddTagsOutputTypeDef:
return {
"ResourceId": ...,
"ResourceType": ...,
"ResponseMetadata": ...,
}
Definition
class AddTagsOutputTypeDef(TypedDict):
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
CreateBatchPredictionOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateBatchPredictionOutputTypeDef
def get_value() -> CreateBatchPredictionOutputTypeDef:
return {
"BatchPredictionId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateBatchPredictionOutputTypeDef(TypedDict):
BatchPredictionId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
CreateDataSourceFromRDSOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromRDSOutputTypeDef
def get_value() -> CreateDataSourceFromRDSOutputTypeDef:
return {
"DataSourceId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateDataSourceFromRDSOutputTypeDef(TypedDict):
DataSourceId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
CreateDataSourceFromRedshiftOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromRedshiftOutputTypeDef
def get_value() -> CreateDataSourceFromRedshiftOutputTypeDef:
return {
"DataSourceId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateDataSourceFromRedshiftOutputTypeDef(TypedDict):
DataSourceId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
CreateDataSourceFromS3OutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromS3OutputTypeDef
def get_value() -> CreateDataSourceFromS3OutputTypeDef:
return {
"DataSourceId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateDataSourceFromS3OutputTypeDef(TypedDict):
DataSourceId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
CreateEvaluationOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateEvaluationOutputTypeDef
def get_value() -> CreateEvaluationOutputTypeDef:
return {
"EvaluationId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateEvaluationOutputTypeDef(TypedDict):
EvaluationId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
CreateMLModelOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateMLModelOutputTypeDef
def get_value() -> CreateMLModelOutputTypeDef:
return {
"MLModelId": ...,
"ResponseMetadata": ...,
}
Definition
class CreateMLModelOutputTypeDef(TypedDict):
MLModelId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DeleteBatchPredictionOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteBatchPredictionOutputTypeDef
def get_value() -> DeleteBatchPredictionOutputTypeDef:
return {
"BatchPredictionId": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteBatchPredictionOutputTypeDef(TypedDict):
BatchPredictionId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DeleteDataSourceOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteDataSourceOutputTypeDef
def get_value() -> DeleteDataSourceOutputTypeDef:
return {
"DataSourceId": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteDataSourceOutputTypeDef(TypedDict):
DataSourceId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DeleteEvaluationOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteEvaluationOutputTypeDef
def get_value() -> DeleteEvaluationOutputTypeDef:
return {
"EvaluationId": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteEvaluationOutputTypeDef(TypedDict):
EvaluationId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DeleteMLModelOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteMLModelOutputTypeDef
def get_value() -> DeleteMLModelOutputTypeDef:
return {
"MLModelId": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteMLModelOutputTypeDef(TypedDict):
MLModelId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DeleteTagsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteTagsOutputTypeDef
def get_value() -> DeleteTagsOutputTypeDef:
return {
"ResourceId": ...,
"ResourceType": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteTagsOutputTypeDef(TypedDict):
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
DescribeTagsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeTagsOutputTypeDef
def get_value() -> DescribeTagsOutputTypeDef:
return {
"ResourceId": ...,
"ResourceType": ...,
"Tags": ...,
"ResponseMetadata": ...,
}
Definition
class DescribeTagsOutputTypeDef(TypedDict):
ResourceId: str,
ResourceType: TaggableResourceTypeType, # (1)
Tags: List[TagTypeDef], # (2)
ResponseMetadata: ResponseMetadataTypeDef, # (3)
GetBatchPredictionOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetBatchPredictionOutputTypeDef
def get_value() -> GetBatchPredictionOutputTypeDef:
return {
"BatchPredictionId": ...,
"MLModelId": ...,
"BatchPredictionDataSourceId": ...,
"InputDataLocationS3": ...,
"CreatedByIamUser": ...,
"CreatedAt": ...,
"LastUpdatedAt": ...,
"Name": ...,
"Status": ...,
"OutputUri": ...,
"LogUri": ...,
"Message": ...,
"ComputeTime": ...,
"FinishedAt": ...,
"StartedAt": ...,
"TotalRecordCount": ...,
"InvalidRecordCount": ...,
"ResponseMetadata": ...,
}
Definition
class GetBatchPredictionOutputTypeDef(TypedDict):
BatchPredictionId: str,
MLModelId: str,
BatchPredictionDataSourceId: str,
InputDataLocationS3: str,
CreatedByIamUser: str,
CreatedAt: datetime,
LastUpdatedAt: datetime,
Name: str,
Status: EntityStatusType, # (1)
OutputUri: str,
LogUri: str,
Message: str,
ComputeTime: int,
FinishedAt: datetime,
StartedAt: datetime,
TotalRecordCount: int,
InvalidRecordCount: int,
ResponseMetadata: ResponseMetadataTypeDef, # (2)
UpdateBatchPredictionOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateBatchPredictionOutputTypeDef
def get_value() -> UpdateBatchPredictionOutputTypeDef:
return {
"BatchPredictionId": ...,
"ResponseMetadata": ...,
}
Definition
class UpdateBatchPredictionOutputTypeDef(TypedDict):
BatchPredictionId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
UpdateDataSourceOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateDataSourceOutputTypeDef
def get_value() -> UpdateDataSourceOutputTypeDef:
return {
"DataSourceId": ...,
"ResponseMetadata": ...,
}
Definition
class UpdateDataSourceOutputTypeDef(TypedDict):
DataSourceId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
UpdateEvaluationOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateEvaluationOutputTypeDef
def get_value() -> UpdateEvaluationOutputTypeDef:
return {
"EvaluationId": ...,
"ResponseMetadata": ...,
}
Definition
class UpdateEvaluationOutputTypeDef(TypedDict):
EvaluationId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
UpdateMLModelOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import UpdateMLModelOutputTypeDef
def get_value() -> UpdateMLModelOutputTypeDef:
return {
"MLModelId": ...,
"ResponseMetadata": ...,
}
Definition
class UpdateMLModelOutputTypeDef(TypedDict):
MLModelId: str,
ResponseMetadata: ResponseMetadataTypeDef, # (1)
DescribeBatchPredictionsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeBatchPredictionsOutputTypeDef
def get_value() -> DescribeBatchPredictionsOutputTypeDef:
return {
"Results": ...,
"NextToken": ...,
"ResponseMetadata": ...,
}
Definition
class DescribeBatchPredictionsOutputTypeDef(TypedDict):
Results: List[BatchPredictionTypeDef], # (1)
NextToken: str,
ResponseMetadata: ResponseMetadataTypeDef, # (2)
CreateDataSourceFromS3InputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromS3InputRequestTypeDef
def get_value() -> CreateDataSourceFromS3InputRequestTypeDef:
return {
"DataSourceId": ...,
"DataSpec": ...,
}
Definition
class CreateDataSourceFromS3InputRequestTypeDef(TypedDict):
DataSourceId: str,
DataSpec: S3DataSpecTypeDef, # (1)
DataSourceName: NotRequired[str],
ComputeStatistics: NotRequired[bool],
CreateRealtimeEndpointOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateRealtimeEndpointOutputTypeDef
def get_value() -> CreateRealtimeEndpointOutputTypeDef:
return {
"MLModelId": ...,
"RealtimeEndpointInfo": ...,
"ResponseMetadata": ...,
}
Definition
class CreateRealtimeEndpointOutputTypeDef(TypedDict):
MLModelId: str,
RealtimeEndpointInfo: RealtimeEndpointInfoTypeDef, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
DeleteRealtimeEndpointOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DeleteRealtimeEndpointOutputTypeDef
def get_value() -> DeleteRealtimeEndpointOutputTypeDef:
return {
"MLModelId": ...,
"RealtimeEndpointInfo": ...,
"ResponseMetadata": ...,
}
Definition
class DeleteRealtimeEndpointOutputTypeDef(TypedDict):
MLModelId: str,
RealtimeEndpointInfo: RealtimeEndpointInfoTypeDef, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
GetMLModelOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetMLModelOutputTypeDef
def get_value() -> GetMLModelOutputTypeDef:
return {
"MLModelId": ...,
"TrainingDataSourceId": ...,
"CreatedByIamUser": ...,
"CreatedAt": ...,
"LastUpdatedAt": ...,
"Name": ...,
"Status": ...,
"SizeInBytes": ...,
"EndpointInfo": ...,
"TrainingParameters": ...,
"InputDataLocationS3": ...,
"MLModelType": ...,
"ScoreThreshold": ...,
"ScoreThresholdLastUpdatedAt": ...,
"LogUri": ...,
"Message": ...,
"ComputeTime": ...,
"FinishedAt": ...,
"StartedAt": ...,
"Recipe": ...,
"Schema": ...,
"ResponseMetadata": ...,
}
Definition
class GetMLModelOutputTypeDef(TypedDict):
MLModelId: str,
TrainingDataSourceId: str,
CreatedByIamUser: str,
CreatedAt: datetime,
LastUpdatedAt: datetime,
Name: str,
Status: EntityStatusType, # (1)
SizeInBytes: int,
EndpointInfo: RealtimeEndpointInfoTypeDef, # (2)
TrainingParameters: Dict[str, str],
InputDataLocationS3: str,
MLModelType: MLModelTypeType, # (3)
ScoreThreshold: float,
ScoreThresholdLastUpdatedAt: datetime,
LogUri: str,
Message: str,
ComputeTime: int,
FinishedAt: datetime,
StartedAt: datetime,
Recipe: str,
Schema: str,
ResponseMetadata: ResponseMetadataTypeDef, # (4)
- See EntityStatusType
- See RealtimeEndpointInfoTypeDef
- See MLModelTypeType
- See ResponseMetadataTypeDef
MLModelTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import MLModelTypeDef
def get_value() -> MLModelTypeDef:
return {
"MLModelId": ...,
}
Definition
class MLModelTypeDef(TypedDict):
MLModelId: NotRequired[str],
TrainingDataSourceId: NotRequired[str],
CreatedByIamUser: NotRequired[str],
CreatedAt: NotRequired[datetime],
LastUpdatedAt: NotRequired[datetime],
Name: NotRequired[str],
Status: NotRequired[EntityStatusType], # (1)
SizeInBytes: NotRequired[int],
EndpointInfo: NotRequired[RealtimeEndpointInfoTypeDef], # (2)
TrainingParameters: NotRequired[Dict[str, str]],
InputDataLocationS3: NotRequired[str],
Algorithm: NotRequired[AlgorithmType], # (3)
MLModelType: NotRequired[MLModelTypeType], # (4)
ScoreThreshold: NotRequired[float],
ScoreThresholdLastUpdatedAt: NotRequired[datetime],
Message: NotRequired[str],
ComputeTime: NotRequired[int],
FinishedAt: NotRequired[datetime],
StartedAt: NotRequired[datetime],
- See EntityStatusType
- See RealtimeEndpointInfoTypeDef
- See AlgorithmType
- See MLModelTypeType
DescribeBatchPredictionsInputBatchPredictionAvailableWaitTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeBatchPredictionsInputBatchPredictionAvailableWaitTypeDef
def get_value() -> DescribeBatchPredictionsInputBatchPredictionAvailableWaitTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeBatchPredictionsInputBatchPredictionAvailableWaitTypeDef(TypedDict):
FilterVariable: NotRequired[BatchPredictionFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
WaiterConfig: NotRequired[WaiterConfigTypeDef], # (3)
DescribeDataSourcesInputDataSourceAvailableWaitTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeDataSourcesInputDataSourceAvailableWaitTypeDef
def get_value() -> DescribeDataSourcesInputDataSourceAvailableWaitTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeDataSourcesInputDataSourceAvailableWaitTypeDef(TypedDict):
FilterVariable: NotRequired[DataSourceFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
WaiterConfig: NotRequired[WaiterConfigTypeDef], # (3)
DescribeEvaluationsInputEvaluationAvailableWaitTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeEvaluationsInputEvaluationAvailableWaitTypeDef
def get_value() -> DescribeEvaluationsInputEvaluationAvailableWaitTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeEvaluationsInputEvaluationAvailableWaitTypeDef(TypedDict):
FilterVariable: NotRequired[EvaluationFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
WaiterConfig: NotRequired[WaiterConfigTypeDef], # (3)
DescribeMLModelsInputMLModelAvailableWaitTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeMLModelsInputMLModelAvailableWaitTypeDef
def get_value() -> DescribeMLModelsInputMLModelAvailableWaitTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeMLModelsInputMLModelAvailableWaitTypeDef(TypedDict):
FilterVariable: NotRequired[MLModelFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
NextToken: NotRequired[str],
Limit: NotRequired[int],
WaiterConfig: NotRequired[WaiterConfigTypeDef], # (3)
DescribeBatchPredictionsInputDescribeBatchPredictionsPaginateTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeBatchPredictionsInputDescribeBatchPredictionsPaginateTypeDef
def get_value() -> DescribeBatchPredictionsInputDescribeBatchPredictionsPaginateTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeBatchPredictionsInputDescribeBatchPredictionsPaginateTypeDef(TypedDict):
FilterVariable: NotRequired[BatchPredictionFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (3)
DescribeDataSourcesInputDescribeDataSourcesPaginateTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeDataSourcesInputDescribeDataSourcesPaginateTypeDef
def get_value() -> DescribeDataSourcesInputDescribeDataSourcesPaginateTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeDataSourcesInputDescribeDataSourcesPaginateTypeDef(TypedDict):
FilterVariable: NotRequired[DataSourceFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (3)
DescribeEvaluationsInputDescribeEvaluationsPaginateTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeEvaluationsInputDescribeEvaluationsPaginateTypeDef
def get_value() -> DescribeEvaluationsInputDescribeEvaluationsPaginateTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeEvaluationsInputDescribeEvaluationsPaginateTypeDef(TypedDict):
FilterVariable: NotRequired[EvaluationFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (3)
DescribeMLModelsInputDescribeMLModelsPaginateTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeMLModelsInputDescribeMLModelsPaginateTypeDef
def get_value() -> DescribeMLModelsInputDescribeMLModelsPaginateTypeDef:
return {
"FilterVariable": ...,
}
Definition
class DescribeMLModelsInputDescribeMLModelsPaginateTypeDef(TypedDict):
FilterVariable: NotRequired[MLModelFilterVariableType], # (1)
EQ: NotRequired[str],
GT: NotRequired[str],
LT: NotRequired[str],
GE: NotRequired[str],
LE: NotRequired[str],
NE: NotRequired[str],
Prefix: NotRequired[str],
SortOrder: NotRequired[SortOrderType], # (2)
PaginationConfig: NotRequired[PaginatorConfigTypeDef], # (3)
EvaluationTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import EvaluationTypeDef
def get_value() -> EvaluationTypeDef:
return {
"EvaluationId": ...,
}
Definition
class EvaluationTypeDef(TypedDict):
EvaluationId: NotRequired[str],
MLModelId: NotRequired[str],
EvaluationDataSourceId: NotRequired[str],
InputDataLocationS3: NotRequired[str],
CreatedByIamUser: NotRequired[str],
CreatedAt: NotRequired[datetime],
LastUpdatedAt: NotRequired[datetime],
Name: NotRequired[str],
Status: NotRequired[EntityStatusType], # (1)
PerformanceMetrics: NotRequired[PerformanceMetricsTypeDef], # (2)
Message: NotRequired[str],
ComputeTime: NotRequired[int],
FinishedAt: NotRequired[datetime],
StartedAt: NotRequired[datetime],
GetEvaluationOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetEvaluationOutputTypeDef
def get_value() -> GetEvaluationOutputTypeDef:
return {
"EvaluationId": ...,
"MLModelId": ...,
"EvaluationDataSourceId": ...,
"InputDataLocationS3": ...,
"CreatedByIamUser": ...,
"CreatedAt": ...,
"LastUpdatedAt": ...,
"Name": ...,
"Status": ...,
"PerformanceMetrics": ...,
"LogUri": ...,
"Message": ...,
"ComputeTime": ...,
"FinishedAt": ...,
"StartedAt": ...,
"ResponseMetadata": ...,
}
Definition
class GetEvaluationOutputTypeDef(TypedDict):
EvaluationId: str,
MLModelId: str,
EvaluationDataSourceId: str,
InputDataLocationS3: str,
CreatedByIamUser: str,
CreatedAt: datetime,
LastUpdatedAt: datetime,
Name: str,
Status: EntityStatusType, # (1)
PerformanceMetrics: PerformanceMetricsTypeDef, # (2)
LogUri: str,
Message: str,
ComputeTime: int,
FinishedAt: datetime,
StartedAt: datetime,
ResponseMetadata: ResponseMetadataTypeDef, # (3)
PredictOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import PredictOutputTypeDef
def get_value() -> PredictOutputTypeDef:
return {
"Prediction": ...,
"ResponseMetadata": ...,
}
Definition
class PredictOutputTypeDef(TypedDict):
Prediction: PredictionTypeDef, # (1)
ResponseMetadata: ResponseMetadataTypeDef, # (2)
RDSDataSpecTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RDSDataSpecTypeDef
def get_value() -> RDSDataSpecTypeDef:
return {
"DatabaseInformation": ...,
"SelectSqlQuery": ...,
"DatabaseCredentials": ...,
"S3StagingLocation": ...,
"ResourceRole": ...,
"ServiceRole": ...,
"SubnetId": ...,
"SecurityGroupIds": ...,
}
Definition
class RDSDataSpecTypeDef(TypedDict):
DatabaseInformation: RDSDatabaseTypeDef, # (1)
SelectSqlQuery: str,
DatabaseCredentials: RDSDatabaseCredentialsTypeDef, # (2)
S3StagingLocation: str,
ResourceRole: str,
ServiceRole: str,
SubnetId: str,
SecurityGroupIds: Sequence[str],
DataRearrangement: NotRequired[str],
DataSchema: NotRequired[str],
DataSchemaUri: NotRequired[str],
RDSMetadataTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RDSMetadataTypeDef
def get_value() -> RDSMetadataTypeDef:
return {
"Database": ...,
}
Definition
class RDSMetadataTypeDef(TypedDict):
Database: NotRequired[RDSDatabaseTypeDef], # (1)
DatabaseUserName: NotRequired[str],
SelectSqlQuery: NotRequired[str],
ResourceRole: NotRequired[str],
ServiceRole: NotRequired[str],
DataPipelineId: NotRequired[str],
RedshiftDataSpecTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RedshiftDataSpecTypeDef
def get_value() -> RedshiftDataSpecTypeDef:
return {
"DatabaseInformation": ...,
"SelectSqlQuery": ...,
"DatabaseCredentials": ...,
"S3StagingLocation": ...,
}
Definition
class RedshiftDataSpecTypeDef(TypedDict):
DatabaseInformation: RedshiftDatabaseTypeDef, # (1)
SelectSqlQuery: str,
DatabaseCredentials: RedshiftDatabaseCredentialsTypeDef, # (2)
S3StagingLocation: str,
DataRearrangement: NotRequired[str],
DataSchema: NotRequired[str],
DataSchemaUri: NotRequired[str],
RedshiftMetadataTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import RedshiftMetadataTypeDef
def get_value() -> RedshiftMetadataTypeDef:
return {
"RedshiftDatabase": ...,
}
Definition
class RedshiftMetadataTypeDef(TypedDict):
RedshiftDatabase: NotRequired[RedshiftDatabaseTypeDef], # (1)
DatabaseUserName: NotRequired[str],
SelectSqlQuery: NotRequired[str],
DescribeMLModelsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeMLModelsOutputTypeDef
def get_value() -> DescribeMLModelsOutputTypeDef:
return {
"Results": ...,
"NextToken": ...,
"ResponseMetadata": ...,
}
Definition
class DescribeMLModelsOutputTypeDef(TypedDict):
Results: List[MLModelTypeDef], # (1)
NextToken: str,
ResponseMetadata: ResponseMetadataTypeDef, # (2)
DescribeEvaluationsOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeEvaluationsOutputTypeDef
def get_value() -> DescribeEvaluationsOutputTypeDef:
return {
"Results": ...,
"NextToken": ...,
"ResponseMetadata": ...,
}
Definition
class DescribeEvaluationsOutputTypeDef(TypedDict):
Results: List[EvaluationTypeDef], # (1)
NextToken: str,
ResponseMetadata: ResponseMetadataTypeDef, # (2)
CreateDataSourceFromRDSInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromRDSInputRequestTypeDef
def get_value() -> CreateDataSourceFromRDSInputRequestTypeDef:
return {
"DataSourceId": ...,
"RDSData": ...,
"RoleARN": ...,
}
Definition
class CreateDataSourceFromRDSInputRequestTypeDef(TypedDict):
DataSourceId: str,
RDSData: RDSDataSpecTypeDef, # (1)
RoleARN: str,
DataSourceName: NotRequired[str],
ComputeStatistics: NotRequired[bool],
CreateDataSourceFromRedshiftInputRequestTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import CreateDataSourceFromRedshiftInputRequestTypeDef
def get_value() -> CreateDataSourceFromRedshiftInputRequestTypeDef:
return {
"DataSourceId": ...,
"DataSpec": ...,
"RoleARN": ...,
}
Definition
class CreateDataSourceFromRedshiftInputRequestTypeDef(TypedDict):
DataSourceId: str,
DataSpec: RedshiftDataSpecTypeDef, # (1)
RoleARN: str,
DataSourceName: NotRequired[str],
ComputeStatistics: NotRequired[bool],
DataSourceTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DataSourceTypeDef
def get_value() -> DataSourceTypeDef:
return {
"DataSourceId": ...,
}
Definition
class DataSourceTypeDef(TypedDict):
DataSourceId: NotRequired[str],
DataLocationS3: NotRequired[str],
DataRearrangement: NotRequired[str],
CreatedByIamUser: NotRequired[str],
CreatedAt: NotRequired[datetime],
LastUpdatedAt: NotRequired[datetime],
DataSizeInBytes: NotRequired[int],
NumberOfFiles: NotRequired[int],
Name: NotRequired[str],
Status: NotRequired[EntityStatusType], # (1)
Message: NotRequired[str],
RedshiftMetadata: NotRequired[RedshiftMetadataTypeDef], # (2)
RDSMetadata: NotRequired[RDSMetadataTypeDef], # (3)
RoleARN: NotRequired[str],
ComputeStatistics: NotRequired[bool],
ComputeTime: NotRequired[int],
FinishedAt: NotRequired[datetime],
StartedAt: NotRequired[datetime],
GetDataSourceOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import GetDataSourceOutputTypeDef
def get_value() -> GetDataSourceOutputTypeDef:
return {
"DataSourceId": ...,
"DataLocationS3": ...,
"DataRearrangement": ...,
"CreatedByIamUser": ...,
"CreatedAt": ...,
"LastUpdatedAt": ...,
"DataSizeInBytes": ...,
"NumberOfFiles": ...,
"Name": ...,
"Status": ...,
"LogUri": ...,
"Message": ...,
"RedshiftMetadata": ...,
"RDSMetadata": ...,
"RoleARN": ...,
"ComputeStatistics": ...,
"ComputeTime": ...,
"FinishedAt": ...,
"StartedAt": ...,
"DataSourceSchema": ...,
"ResponseMetadata": ...,
}
Definition
class GetDataSourceOutputTypeDef(TypedDict):
DataSourceId: str,
DataLocationS3: str,
DataRearrangement: str,
CreatedByIamUser: str,
CreatedAt: datetime,
LastUpdatedAt: datetime,
DataSizeInBytes: int,
NumberOfFiles: int,
Name: str,
Status: EntityStatusType, # (1)
LogUri: str,
Message: str,
RedshiftMetadata: RedshiftMetadataTypeDef, # (2)
RDSMetadata: RDSMetadataTypeDef, # (3)
RoleARN: str,
ComputeStatistics: bool,
ComputeTime: int,
FinishedAt: datetime,
StartedAt: datetime,
DataSourceSchema: str,
ResponseMetadata: ResponseMetadataTypeDef, # (4)
DescribeDataSourcesOutputTypeDef
Usage Example
from mypy_boto3_machinelearning.type_defs import DescribeDataSourcesOutputTypeDef
def get_value() -> DescribeDataSourcesOutputTypeDef:
return {
"Results": ...,
"NextToken": ...,
"ResponseMetadata": ...,
}