aws machinelearning
Definition of the public APIs exposed by Amazon Machine Learning AWS CLI reference
28 commands Its page in the AWS CLI reference
Commands
add-tagsAdds one or more tags to an object, up to a limit of 10.create-batch-predictionGenerates predictions for a group of observations.create-data-source-from-rdsCreates a DataSource object from an Amazon Relational Database Service (Amazon RDS).create-data-source-from-redshiftCreates a DataSource from a database hosted on an Amazon Redshift cluster.create-data-source-from-s3Creates a DataSource object.create-evaluationCreates a new Evaluation of an MLModel.create-ml-modelCreates a new MLModel using the DataSource and the recipe as information sources.create-realtime-endpointCreates a real-time endpoint for the MLModel.delete-batch-predictionAssigns the DELETED status to a BatchPrediction, rendering it unusable.delete-data-sourceAssigns the DELETED status to a DataSource, rendering it unusable.delete-evaluationAssigns the DELETED status to an Evaluation, rendering it unusable.delete-ml-modelAssigns the DELETED status to an MLModel, rendering it unusable.delete-realtime-endpointDeletes a real time endpoint of an MLModel.delete-tagsDeletes the specified tags associated with an ML object.describe-batch-predictionsReturns a list of BatchPrediction operations that match the search criteria in the request.describe-data-sourcesReturns a list of DataSource that match the search criteria in the request.describe-evaluationsReturns a list of DescribeEvaluations that match the search criteria in the request.describe-ml-modelsReturns a list of MLModel that match the search criteria in the request.describe-tagsDescribes one or more of the tags for your Amazon ML object.get-batch-predictionReturns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.get-data-sourceReturns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.get-evaluationReturns an Evaluation that includes metadata as well as the current status of the Evaluation.get-ml-modelReturns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.predictGenerates a prediction for the observation using the specified ML Model.update-batch-predictionUpdates the BatchPredictionName of a BatchPrediction.update-data-sourceUpdates the DataSourceName of a DataSource.update-evaluationUpdates the EvaluationName of an Evaluation.update-ml-modelUpdates the MLModelName and the ScoreThreshold of an MLModel.