Package machinelearningiface provides an interface to enable mocking the Amazon Machine Learning service client for testing your code.

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

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.

Service ID for Regions and Endpoints metadata.

Enum values for EntityStatus.

Enum values for EntityStatus.

Enum values for EntityStatus.

Enum values for EntityStatus.

Enum values for EntityStatus.

ErrCodeIdempotentParameterMismatchException for service response error code "IdempotentParameterMismatchException".

ErrCodeInternalServerException for service response error code "InternalServerException".

ErrCodeInvalidInputException for service response error code "InvalidInputException".

ErrCodeInvalidTagException for service response error code "InvalidTagException".

ErrCodeLimitExceededException for service response error code "LimitExceededException".

ErrCodePredictorNotMountedException for service response error code "PredictorNotMountedException".

ErrCodeResourceNotFoundException for service response error code "ResourceNotFoundException".

ErrCodeTagLimitExceededException for service response error code "TagLimitExceededException".

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.

Service endpoint prefix API calls made to.

Enum values for SortOrder.

Enum values for SortOrder.

Enum values for TaggableResourceType.

Enum values for TaggableResourceType.

Enum values for TaggableResourceType.

Enum values for TaggableResourceType.

Amazon ML returns the following elements.

AddTagsRequest is a API request type for the AddTags API operation.

Represents the output of a GetBatchPrediction operation.

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

CreateBatchPredictionRequest is a API request type for the CreateBatchPrediction API operation.

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

CreateDataSourceFromRDSRequest is a API request type for the CreateDataSourceFromRDS API operation.

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

CreateDataSourceFromRedshiftRequest is a API request type for the CreateDataSourceFromRedshift API operation.

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

CreateDataSourceFromS3Request is a API request type for the CreateDataSourceFromS3 API operation.

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

CreateEvaluationRequest is a API request type for the CreateEvaluation API operation.

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

CreateMLModelRequest is a API request type for the CreateMLModel API operation.

Represents the output of an CreateRealtimeEndpoint operation.

CreateRealtimeEndpointRequest is a API request type for the CreateRealtimeEndpoint API operation.

Represents the output of the GetDataSource operation.

Represents the output of a DeleteBatchPrediction operation.

DeleteBatchPredictionRequest is a API request type for the DeleteBatchPrediction API operation.

Represents the output of a DeleteDataSource operation.

DeleteDataSourceRequest is a API request type for the DeleteDataSource API operation.

Represents the output of a DeleteEvaluation operation.

DeleteEvaluationRequest is a API request type for the DeleteEvaluation API operation.

Represents the output of a DeleteMLModel operation.

DeleteMLModelRequest is a API request type for the DeleteMLModel API operation.

Represents the output of an DeleteRealtimeEndpoint operation.

DeleteRealtimeEndpointRequest is a API request type for the DeleteRealtimeEndpoint API operation.

Amazon ML returns the following elements.

DeleteTagsRequest is a API request type for the DeleteTags API operation.

Represents the output of a DescribeBatchPredictions operation.

DescribeBatchPredictionsPager is used to paginate the request.

DescribeBatchPredictionsRequest is a API request type for the DescribeBatchPredictions API operation.

Represents the query results from a DescribeDataSources operation.

DescribeDataSourcesPager is used to paginate the request.

DescribeDataSourcesRequest is a API request type for the DescribeDataSources API operation.

Represents the query results from a DescribeEvaluations operation.

DescribeEvaluationsPager is used to paginate the request.

DescribeEvaluationsRequest is a API request type for the DescribeEvaluations API operation.

Represents the output of a DescribeMLModels operation.

DescribeMLModelsPager is used to paginate the request.

DescribeMLModelsRequest is a API request type for the DescribeMLModels API operation.

Amazon ML returns the following elements.

DescribeTagsRequest is a API request type for the DescribeTags API operation.

Represents the output of GetEvaluation operation.

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

GetBatchPredictionRequest is a API request type for the GetBatchPrediction API operation.

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

GetDataSourceRequest is a API request type for the GetDataSource API operation.

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

GetEvaluationRequest is a API request type for the GetEvaluation API operation.

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

GetMLModelRequest is a API request type for the GetMLModel API operation.

MachineLearning provides the API operation methods for making requests to Amazon Machine Learning.

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 | MULTICLASSDetailsAttributes.ALGORITHM - SGD * PredictedLabel - Present for either a BINARY or MULTICLASSMLModel request.

PredictRequest is a API request type for the Predict API operation.

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.

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

Represents the output of an UpdateBatchPrediction operation.

UpdateBatchPredictionRequest is a API request type for the UpdateBatchPrediction API operation.

Represents the output of an UpdateDataSource operation.

UpdateDataSourceRequest is a API request type for the UpdateDataSource API operation.

Represents the output of an UpdateEvaluation operation.

UpdateEvaluationRequest is a API request type for the UpdateEvaluation API operation.

Represents the output of an UpdateMLModel operation.

UpdateMLModelRequest is a API request type for the UpdateMLModel API operation.

The function used to train an MLModel.

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

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

Contains the key values of DetailsMap: PredictiveModelType- Indicates the type of the MLModel.

Object status with the following possible values: * PENDING * INPROGRESS * FAILED * COMPLETED * DELETED.

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

The sort order specified in a listing condition.