# Constants
Enum values for Algorithm.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for BatchPredictionFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DataSourceFilterVariable.
Enum values for DetailsAttributes.
Enum values for DetailsAttributes.
Enum values for EntityStatus.
Enum values for EntityStatus.
Enum values for EntityStatus.
Enum values for EntityStatus.
Enum values for EntityStatus.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for EvaluationFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelFilterVariable.
Enum values for MLModelType.
Enum values for MLModelType.
Enum values for MLModelType.
Enum values for RealtimeEndpointStatus.
Enum values for RealtimeEndpointStatus.
Enum values for RealtimeEndpointStatus.
Enum values for RealtimeEndpointStatus.
Enum values for SortOrder.
Enum values for SortOrder.
Enum values for TaggableResourceType.
Enum values for TaggableResourceType.
Enum values for TaggableResourceType.
Enum values for TaggableResourceType.
# Structs
Represents the output of a GetBatchPrediction operation.
Represents the output of the GetDataSource operation.
Represents the output of GetEvaluation operation.
A second request to use or change an object was not allowed.
An error on the server occurred when trying to process a request.
An error on the client occurred.
No description provided by the author
The subscriber exceeded the maximum number of operations.
Represents the output of a GetMLModel operation.
Measurements of how well the MLModel performed on known observations.
The output from a Predict operation:
- Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGD
- PredictedLabel - Present for either a BINARY or MULTICLASS MLModel request.
The exception is thrown when a predict request is made to an unmounted MLModel .
The database details of an Amazon RDS database.
The database credentials to connect to a database on an RDS DB instance.
The data specification of an Amazon Relational Database Service (Amazon RDS) DataSource .
The datasource details that are specific to Amazon RDS.
Describes the real-time endpoint information for an MLModel .
Describes the database details required to connect to an Amazon Redshift database.
Describes the database credentials for connecting to a database on an Amazon Redshift cluster.
Describes the data specification of an Amazon Redshift DataSource .
Describes the DataSource details specific to Amazon Redshift.
A specified resource cannot be located.
Describes the data specification of a DataSource .
A custom key-value pair associated with an ML object, such as an ML model.
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# Type aliases
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