| Class | Description |
|---|---|
| AddTagsRequest | |
| AddTagsResult |
Amazon ML returns the following elements.
|
| BatchPrediction |
Represents the output of a
GetBatchPrediction operation. |
| CreateBatchPredictionRequest | |
| CreateBatchPredictionResult |
Represents the output of a
CreateBatchPrediction operation, and is an acknowledgement that Amazon ML
received the request. |
| CreateDataSourceFromRDSRequest | |
| CreateDataSourceFromRDSResult |
Represents the output of a
CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML
received the request. |
| CreateDataSourceFromRedshiftRequest | |
| CreateDataSourceFromRedshiftResult |
Represents the output of a
CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon
ML received the request. |
| CreateDataSourceFromS3Request | |
| CreateDataSourceFromS3Result |
Represents the output of a
CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML
received the request. |
| CreateEvaluationRequest | |
| CreateEvaluationResult |
Represents the output of a
CreateEvaluation operation, and is an acknowledgement that Amazon ML received
the request. |
| CreateMLModelRequest | |
| CreateMLModelResult |
Represents the output of a
CreateMLModel operation, and is an acknowledgement that Amazon ML received
the request. |
| CreateRealtimeEndpointRequest | |
| CreateRealtimeEndpointResult |
Represents the output of an
CreateRealtimeEndpoint operation. |
| DataSource |
Represents the output of the
GetDataSource operation. |
| DeleteBatchPredictionRequest | |
| DeleteBatchPredictionResult |
Represents the output of a
DeleteBatchPrediction operation. |
| DeleteDataSourceRequest | |
| DeleteDataSourceResult |
Represents the output of a
DeleteDataSource operation. |
| DeleteEvaluationRequest | |
| DeleteEvaluationResult |
Represents the output of a
DeleteEvaluation operation. |
| DeleteMLModelRequest | |
| DeleteMLModelResult |
Represents the output of a
DeleteMLModel operation. |
| DeleteRealtimeEndpointRequest | |
| DeleteRealtimeEndpointResult |
Represents the output of an
DeleteRealtimeEndpoint operation. |
| DeleteTagsRequest | |
| DeleteTagsResult |
Amazon ML returns the following elements.
|
| DescribeBatchPredictionsRequest | |
| DescribeBatchPredictionsResult |
Represents the output of a
DescribeBatchPredictions operation. |
| DescribeDataSourcesRequest | |
| DescribeDataSourcesResult |
Represents the query results from a DescribeDataSources operation.
|
| DescribeEvaluationsRequest | |
| DescribeEvaluationsResult |
Represents the query results from a
DescribeEvaluations operation. |
| DescribeMLModelsRequest | |
| DescribeMLModelsResult |
Represents the output of a
DescribeMLModels operation. |
| DescribeTagsRequest | |
| DescribeTagsResult |
Amazon ML returns the following elements.
|
| Evaluation |
Represents the output of
GetEvaluation operation. |
| GetBatchPredictionRequest | |
| GetBatchPredictionResult |
Represents the output of a
GetBatchPrediction operation and describes a BatchPrediction. |
| GetDataSourceRequest | |
| GetDataSourceResult |
Represents the output of a
GetDataSource operation and describes a DataSource. |
| GetEvaluationRequest | |
| GetEvaluationResult |
Represents the output of a
GetEvaluation operation and describes an Evaluation. |
| GetMLModelRequest | |
| GetMLModelResult |
Represents the output of a
GetMLModel operation, and provides detailed information about a
MLModel. |
| MLModel |
Represents the output of a
GetMLModel operation. |
| PerformanceMetrics |
Measurements of how well the
MLModel performed on known observations. |
| Prediction |
The output from a
Predict operation: |
| PredictRequest | |
| PredictResult | |
| RDSDatabase |
The database details of an Amazon RDS database.
|
| RDSDatabaseCredentials |
The database credentials to connect to a database on an RDS DB instance.
|
| RDSDataSpec |
The data specification of an Amazon Relational Database Service (Amazon RDS)
DataSource. |
| RDSMetadata |
The datasource details that are specific to Amazon RDS.
|
| RealtimeEndpointInfo |
Describes the real-time endpoint information for an
MLModel. |
| RedshiftDatabase |
Describes the database details required to connect to an Amazon Redshift database.
|
| RedshiftDatabaseCredentials |
Describes the database credentials for connecting to a database on an Amazon Redshift cluster.
|
| RedshiftDataSpec |
Describes the data specification of an Amazon Redshift
DataSource. |
| RedshiftMetadata |
Describes the
DataSource details specific to Amazon Redshift. |
| S3DataSpec |
Describes the data specification of a
DataSource. |
| Tag |
A custom key-value pair associated with an ML object, such as an ML model.
|
| UpdateBatchPredictionRequest | |
| UpdateBatchPredictionResult |
Represents the output of an
UpdateBatchPrediction operation. |
| UpdateDataSourceRequest | |
| UpdateDataSourceResult |
Represents the output of an
UpdateDataSource operation. |
| UpdateEvaluationRequest | |
| UpdateEvaluationResult |
Represents the output of an
UpdateEvaluation operation. |
| UpdateMLModelRequest | |
| UpdateMLModelResult |
Represents the output of an
UpdateMLModel operation. |
| Enum | Description |
|---|---|
| Algorithm |
The function used to train an
MLModel. |
| BatchPredictionFilterVariable |
A list of the variables to use in searching or filtering
BatchPrediction. |
| DataSourceFilterVariable |
A list of the variables to use in searching or filtering
DataSource. |
| DetailsAttributes |
Contains the key values of
DetailsMap: PredictiveModelType - Indicates the type of the
MLModel. |
| EntityStatus |
Object status with the following possible values:
|
| EvaluationFilterVariable |
A list of the variables to use in searching or filtering
Evaluation. |
| MLModelFilterVariable | |
| MLModelType | |
| RealtimeEndpointStatus | |
| SortOrder |
The sort order specified in a listing condition.
|
| TaggableResourceType |
| Exception | Description |
|---|---|
| AmazonMachineLearningException |
Base exception for all service exceptions thrown by Amazon Machine Learning
|
| IdempotentParameterMismatchException |
A second request to use or change an object was not allowed.
|
| InternalServerException |
An error on the server occurred when trying to process a request.
|
| InvalidInputException |
An error on the client occurred.
|
| InvalidTagException | |
| LimitExceededException |
The subscriber exceeded the maximum number of operations.
|
| PredictorNotMountedException |
The exception is thrown when a predict request is made to an unmounted
MLModel. |
| ResourceNotFoundException |
A specified resource cannot be located.
|
| TagLimitExceededException |
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