Package-level declarations

Amazon ML returns the following elements.

The function used to train an MLModel. Training choices supported by Amazon ML include the following:

Represents the output of a GetBatchPrediction operation.

A list of the variables to use in searching or filtering BatchPrediction.

Represents the output of a CreateBatchPrediction operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of a CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of a CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request.

Represents the output of an CreateRealtimeEndpoint operation.

Represents the output of the GetDataSource operation.

A list of the variables to use in searching or filtering DataSource.

Represents the output of a DeleteBatchPrediction operation.

Represents the output of a DeleteDataSource operation.

Represents the output of a DeleteEvaluation operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request.

Represents the output of a DeleteMLModel operation.

Represents the output of an DeleteRealtimeEndpoint operation.

Amazon ML returns the following elements.

Represents the output of a DescribeBatchPredictions operation. The content is essentially a list of BatchPredictions.

Represents the query results from a DescribeDataSources operation. The content is essentially a list of DataSource.

Represents the query results from a DescribeEvaluations operation. The content is essentially a list of Evaluation.

Represents the output of a DescribeMLModels operation. The content is essentially a list of MLModel.

Amazon ML returns the following elements.

Contains the key values of DetailsMap:

Object status with the following possible values:

Represents the output of GetEvaluation operation.

A list of the variables to use in searching or filtering Evaluation.

Represents the output of a GetBatchPrediction operation and describes a BatchPrediction.

Represents the output of a GetDataSource operation and describes a DataSource.

Represents the output of a GetEvaluation operation and describes an Evaluation.

Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.

A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.

An error on the server occurred when trying to process a request.

An error on the client occurred. Typically, the cause is an invalid input value.

The subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as DataSource.

Base class for all service related exceptions thrown by the MachineLearning client

Represents the output of a GetMLModel operation.

Measurements of how well the MLModel performed on known observations. One of the following metrics is returned, based on the type of the MLModel:

The output from a Predict operation:

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.

The sort order specified in a listing condition. Possible values include the following:

A custom key-value pair associated with an ML object, such as an ML model.

Represents the output of an UpdateBatchPrediction operation.

Represents the output of an UpdateDataSource operation.

Represents the output of an UpdateEvaluation operation.

Represents the output of an UpdateMLModel operation.