Package machinelearningiface provides an interface for the Amazon Machine Learning.

New creates a new instance of the MachineLearning client with a session.

@enum Algorithm.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum BatchPredictionFilterVariable.

@enum DataSourceFilterVariable.

@enum DataSourceFilterVariable.

@enum DataSourceFilterVariable.

@enum DataSourceFilterVariable.

@enum DataSourceFilterVariable.

@enum DataSourceFilterVariable.

@enum DetailsAttributes.

@enum DetailsAttributes.

@enum EntityStatus.

@enum EntityStatus.

@enum EntityStatus.

@enum EntityStatus.

@enum EntityStatus.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum EvaluationFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelFilterVariable.

@enum MLModelType.

@enum MLModelType.

@enum MLModelType.

@enum RealtimeEndpointStatus.

@enum RealtimeEndpointStatus.

@enum RealtimeEndpointStatus.

@enum RealtimeEndpointStatus.

A ServiceName is the name of the service the client will make API calls to.

@enum SortOrder.

@enum SortOrder.

Represents the output of GetBatchPrediction operation.

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.

Represents the output of a DeleteBatchPrediction operation.

Represents the output of a DeleteDataSource operation.

Represents the output of a DeleteEvaluation operation.

Represents the output of a DeleteMLModel operation.

Represents the output of an DeleteRealtimeEndpoint operation.

Represents the output of a DescribeBatchPredictions operation.

Represents the query results from a DescribeDataSources operation.

Represents the query results from a DescribeEvaluations operation.

Represents the output of a DescribeMLModels operation.

Represents the output of GetEvaluation operation.

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.

Definition of the public APIs exposed by Amazon Machine LearningThe service client's operations are safe to be used concurrently.

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 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.

Describes the data specification of a DataSource.

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.