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AzureML (version 0.2.10)

Interface with Azure Machine Learning Datasets, Experiments and Web Services

Description

Functions and datasets to support Azure Machine Learning. This allows you to interact with datasets, as well as publish and consume R functions as API services.

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Version

Install

install.packages('AzureML')

Monthly Downloads

27

Version

0.2.10

License

MIT + file LICENSE

Issues

19

Pull Requests

1

Stars

46

Forks

22

Maintainer

Andrie de Vries

Last Published

February 1st, 2016

Functions in AzureML (0.2.10)

consumeDataframe

Deprecated functions
consume

Use a web service to score data in list (key=value) format
callAPI

Framework for making an Azure ML web service API call.
discoverSchema

Discover web service schema.
refresh

Refresh data in an AzureML workspace object.
delete.datasets

Delete datasets from an AzureML workspace.
experiments

List experiments in an AzureML workspace.
datasets

List datasets in an AzureML workspace.
download.datasets

Download one or more datasets from an AzureML workspace.
getDetailsFromUrl

Helper function to extract information from a help page URL
endpointHelp

Display AzureML Web Service Endpoint Help Screens
is.Workspace

Test if an object is an Azure ML Workspace.
upload.dataset

Upload an R data frame to an AzureML workspace.
endpoints

List AzureML Web Service Endpoints
read.AzureML.config

Reads settings from configuration file in JSON format.
publishWebService

Publish a function as a Microsoft Azure Web Service.
is.Endpoint

Test if an object is an Azure ML Endpoint.
download.intermediate.dataset

Download a dataset from an AzureML experiment module.
workspace

Create a reference to an AzureML Studio workspace.
is.Service

Test if an object is an Azure ML Service.
deleteWebService

Delete a Microsoft Azure Web Service
services

List Available Web Services.
AzureML-package

Interface to Azure ML Studio datasets and experiments.
azureSchema

Convert input schema to API expected format.