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Type definitions#

Index > MachineLearning > Type definitions

Auto-generated documentation for MachineLearning type annotations stubs module mypy-boto3-machinelearning.

TagTypeDef#

# TagTypeDef definition

class TagTypeDef(TypedDict):
    Key: NotRequired[str],
    Value: NotRequired[str],

ResponseMetadataTypeDef#

# ResponseMetadataTypeDef definition

class ResponseMetadataTypeDef(TypedDict):
    RequestId: str,
    HTTPStatusCode: int,
    HTTPHeaders: Dict[str, str],
    RetryAttempts: int,
    HostId: NotRequired[str],

BatchPredictionTypeDef#

# BatchPredictionTypeDef 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],
  1. See EntityStatusType

CreateBatchPredictionInputRequestTypeDef#

# CreateBatchPredictionInputRequestTypeDef definition

class CreateBatchPredictionInputRequestTypeDef(TypedDict):
    BatchPredictionId: str,
    MLModelId: str,
    BatchPredictionDataSourceId: str,
    OutputUri: str,
    BatchPredictionName: NotRequired[str],

S3DataSpecTypeDef#

# S3DataSpecTypeDef definition

class S3DataSpecTypeDef(TypedDict):
    DataLocationS3: str,
    DataRearrangement: NotRequired[str],
    DataSchema: NotRequired[str],
    DataSchemaLocationS3: NotRequired[str],

CreateEvaluationInputRequestTypeDef#

# CreateEvaluationInputRequestTypeDef definition

class CreateEvaluationInputRequestTypeDef(TypedDict):
    EvaluationId: str,
    MLModelId: str,
    EvaluationDataSourceId: str,
    EvaluationName: NotRequired[str],

CreateMLModelInputRequestTypeDef#

# CreateMLModelInputRequestTypeDef 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],
  1. See MLModelTypeType

CreateRealtimeEndpointInputRequestType