Crate rusoto_machinelearning[−][src]
Definition of the public APIs exposed by Amazon Machine Learning
If you're using the service, you're probably looking for MachineLearningClient and MachineLearning.
Structs
AddTagsInput | |
AddTagsOutput |
Amazon ML returns the following elements. |
BatchPrediction |
Represents the output of a The content consists of the detailed metadata, the status, and the data file information of a |
CreateBatchPredictionInput | |
CreateBatchPredictionOutput |
Represents the output of a The |
CreateDataSourceFromRDSInput | |
CreateDataSourceFromRDSOutput |
Represents the output of a The |
CreateDataSourceFromRedshiftInput | |
CreateDataSourceFromRedshiftOutput |
Represents the output of a The |
CreateDataSourceFromS3Input | |
CreateDataSourceFromS3Output |
Represents the output of a The |
CreateEvaluationInput | |
CreateEvaluationOutput |
Represents the output of a
|
CreateMLModelInput | |
CreateMLModelOutput |
Represents the output of a The |
CreateRealtimeEndpointInput | |
CreateRealtimeEndpointOutput |
Represents the output of an The result contains the The endpoint information includes the URI of the |
DataSource |
Represents the output of the The content consists of the detailed metadata and data file information and the current status of the |
DeleteBatchPredictionInput | |
DeleteBatchPredictionOutput |
Represents the output of a You can use the |
DeleteDataSourceInput | |
DeleteDataSourceOutput |
Represents the output of a |
DeleteEvaluationInput | |
DeleteEvaluationOutput |
Represents the output of a You can use the |
DeleteMLModelInput | |
DeleteMLModelOutput |
Represents the output of a You can use the |
DeleteRealtimeEndpointInput | |
DeleteRealtimeEndpointOutput |
Represents the output of an The result contains the |
DeleteTagsInput | |
DeleteTagsOutput |
Amazon ML returns the following elements. |
DescribeBatchPredictionsInput | |
DescribeBatchPredictionsOutput |
Represents the output of a |
DescribeDataSourcesInput | |
DescribeDataSourcesOutput |
Represents the query results from a DescribeDataSources operation. The content is essentially a list of |
DescribeEvaluationsInput | |
DescribeEvaluationsOutput |
Represents the query results from a |
DescribeMLModelsInput | |
DescribeMLModelsOutput |
Represents the output of a |
DescribeTagsInput | |
DescribeTagsOutput |
Amazon ML returns the following elements. |
Evaluation |
Represents the output of The content consists of the detailed metadata and data file information and the current status of the |
GetBatchPredictionInput | |
GetBatchPredictionOutput |
Represents the output of a |
GetDataSourceInput | |
GetDataSourceOutput |
Represents the output of a |
GetEvaluationInput | |
GetEvaluationOutput |
Represents the output of a |
GetMLModelInput | |
GetMLModelOutput |
Represents the output of a |
MLModel |
Represents the output of a The content consists of the detailed metadata and the current status of the |
MachineLearningClient |
A client for the Amazon Machine Learning API. |
PerformanceMetrics |
Measurements of how well the
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide. |
PredictInput | |
PredictOutput | |
Prediction |
The output from a
|
RDSDataSpec |
The data specification of an Amazon Relational Database Service (Amazon RDS) |
RDSDatabase |
The database details of an Amazon RDS database. |
RDSDatabaseCredentials |
The database credentials to connect to a database on an RDS DB instance. |
RDSMetadata |
The datasource details that are specific to Amazon RDS. |
RealtimeEndpointInfo |
Describes the real-time endpoint information for an |
RedshiftDataSpec |
Describes the data specification of an Amazon Redshift |
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. |
RedshiftMetadata |
Describes the |
S3DataSpec |
Describes the data specification of a |
Tag |
A custom key-value pair associated with an ML object, such as an ML model. |
UpdateBatchPredictionInput | |
UpdateBatchPredictionOutput |
Represents the output of an You can see the updated content by using the |
UpdateDataSourceInput | |
UpdateDataSourceOutput |
Represents the output of an You can see the updated content by using the |
UpdateEvaluationInput | |
UpdateEvaluationOutput |
Represents the output of an You can see the updated content by using the |
UpdateMLModelInput | |
UpdateMLModelOutput |
Represents the output of an You can see the updated content by using the |
Enums
AddTagsError |
Errors returned by AddTags |
CreateBatchPredictionError |
Errors returned by CreateBatchPrediction |
CreateDataSourceFromRDSError |
Errors returned by CreateDataSourceFromRDS |
CreateDataSourceFromRedshiftError |
Errors returned by CreateDataSourceFromRedshift |
CreateDataSourceFromS3Error |
Errors returned by CreateDataSourceFromS3 |
CreateEvaluationError |
Errors returned by CreateEvaluation |
CreateMLModelError |
Errors returned by CreateMLModel |
CreateRealtimeEndpointError |
Errors returned by CreateRealtimeEndpoint |
DeleteBatchPredictionError |
Errors returned by DeleteBatchPrediction |
DeleteDataSourceError |
Errors returned by DeleteDataSource |
DeleteEvaluationError |
Errors returned by DeleteEvaluation |
DeleteMLModelError |
Errors returned by DeleteMLModel |
DeleteRealtimeEndpointError |
Errors returned by DeleteRealtimeEndpoint |
DeleteTagsError |
Errors returned by DeleteTags |
DescribeBatchPredictionsError |
Errors returned by DescribeBatchPredictions |
DescribeDataSourcesError |
Errors returned by DescribeDataSources |
DescribeEvaluationsError |
Errors returned by DescribeEvaluations |
DescribeMLModelsError |
Errors returned by DescribeMLModels |
DescribeTagsError |
Errors returned by DescribeTags |
GetBatchPredictionError |
Errors returned by GetBatchPrediction |
GetDataSourceError |
Errors returned by GetDataSource |
GetEvaluationError |
Errors returned by GetEvaluation |
GetMLModelError |
Errors returned by GetMLModel |
PredictError |
Errors returned by Predict |
UpdateBatchPredictionError |
Errors returned by UpdateBatchPrediction |
UpdateDataSourceError |
Errors returned by UpdateDataSource |
UpdateEvaluationError |
Errors returned by UpdateEvaluation |
UpdateMLModelError |
Errors returned by UpdateMLModel |
Traits
MachineLearning |
Trait representing the capabilities of the Amazon Machine Learning API. Amazon Machine Learning clients implement this trait. |