machinelearning-2014-12-12 library

Classes

AddTagsOutput
Amazon ML returns the following elements.
AwsClientCredentials
AWS credentials.
BatchPrediction
Represents the output of a GetBatchPrediction operation. [...]
CreateBatchPredictionOutput
Represents the output of a CreateBatchPrediction operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateDataSourceFromRDSOutput
Represents the output of a CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateDataSourceFromRedshiftOutput
Represents the output of a CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateDataSourceFromS3Output
Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateEvaluationOutput
Represents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateMLModelOutput
Represents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request. [...]
CreateRealtimeEndpointOutput
Represents the output of an CreateRealtimeEndpoint operation. [...]
DataSource
Represents the output of the GetDataSource operation. [...]
DeleteBatchPredictionOutput
Represents the output of a DeleteBatchPrediction operation. [...]
DeleteDataSourceOutput
Represents the output of a DeleteDataSource operation.
DeleteEvaluationOutput
Represents the output of a DeleteEvaluation operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request. [...]
DeleteMLModelOutput
Represents the output of a DeleteMLModel operation. [...]
DeleteRealtimeEndpointOutput
Represents the output of an DeleteRealtimeEndpoint operation. [...]
DeleteTagsOutput
Amazon ML returns the following elements.
DescribeBatchPredictionsOutput
Represents the output of a DescribeBatchPredictions operation. The content is essentially a list of BatchPredictions.
DescribeDataSourcesOutput
Represents the query results from a DescribeDataSources operation. The content is essentially a list of DataSource.
DescribeEvaluationsOutput
Represents the query results from a DescribeEvaluations operation. The content is essentially a list of Evaluation.
DescribeMLModelsOutput
Represents the output of a DescribeMLModels operation. The content is essentially a list of MLModel.
DescribeTagsOutput
Amazon ML returns the following elements.
Evaluation
Represents the output of GetEvaluation operation. [...]
GetBatchPredictionOutput
Represents the output of a GetBatchPrediction operation and describes a BatchPrediction.
GetDataSourceOutput
Represents the output of a GetDataSource operation and describes a DataSource.
GetEvaluationOutput
Represents the output of a GetEvaluation operation and describes an Evaluation.
GetMLModelOutput
Represents the output of a GetMLModel operation, and provides detailed information about a MLModel.
MachineLearning
Definition of the public APIs exposed by Amazon Machine Learning
MLModel
Represents the output of a GetMLModel operation. [...]
PerformanceMetrics
Measurements of how well the MLModel performed on known observations. One of the following metrics is returned, based on the type of the MLModel: [...]
Prediction
The output from a Predict operation: [...]
PredictOutput
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.
UpdateBatchPredictionOutput
Represents the output of an UpdateBatchPrediction operation. [...]
UpdateDataSourceOutput
Represents the output of an UpdateDataSource operation. [...]
UpdateEvaluationOutput
Represents the output of an UpdateEvaluation operation. [...]
UpdateMLModelOutput
Represents the output of an UpdateMLModel operation. [...]

Enums

Algorithm
The function used to train an MLModel. Training choices supported by Amazon ML include the following: [...]
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. Algorithm - Indicates the algorithm that was used for 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. Possible values include the following: [...]
TaggableResourceType

Exceptions / Errors

IdempotentParameterMismatchException
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.
InternalServerException
An error on the server occurred when trying to process a request.
InvalidInputException
An error on the client occurred. Typically, the cause is an invalid input value.
InvalidTagException
LimitExceededException
The subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as DataSource.
PredictorNotMountedException
The exception is thrown when a predict request is made to an unmounted MLModel.
ResourceNotFoundException
A specified resource cannot be located.
TagLimitExceededException