Interface with Azure Machine Learning Datasets, Experiments and Web Services


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Documentation for package ‘AzureML’ version 0.2.14

Help Pages

AzureML-package Interface to Azure ML Studio datasets and experiments.
AzureML Interface to Azure ML Studio datasets and experiments.
consume Use a web service to score data in list (key=value) format.
consumeDataframe Deprecated functions
consumeFile Deprecated functions
consumeLists Deprecated functions
datasets List datasets in an AzureML workspace.
delete.datasets Delete datasets from an AzureML workspace.
deleteWebService Delete a Microsoft Azure Web Service
discoverSchema Discover web service schema.
download.datasets Download one or more datasets from an AzureML workspace.
download.intermediate.dataset Download a dataset from an AzureML experiment module.
endpointHelp Display AzureML Web Service Endpoint Help Screens.
endpoints List AzureML Web Service Endpoints
experiments List experiments in an AzureML workspace.
getEndpoints List AzureML Web Service Endpoints
getEPDetails Deprecated functions
getWebServices List Available Web Services.
getWSDetails Deprecated functions
is.Dataset Test if an object is an Azure ML Dataset.
is.Endpoint Test if an object is an Azure ML Endpoint.
is.Service Test if an object is an Azure ML Service.
is.Workspace Test if an object is an Azure ML Workspace.
publishWebService Publish a function as a Microsoft Azure Web Service.
read.AzureML.config Reads settings from configuration file in JSON format.
refresh Refresh data in an AzureML workspace object.
services List Available Web Services.
updateWebService Publish a function as a Microsoft Azure Web Service.
upload.dataset Upload an R data frame to an AzureML workspace.
workspace Create a reference to an AzureML Studio workspace.
write.AzureML.config Reads settings from configuration file in JSON format.