CRAN/E | azuremlsdk

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

Installation

About

Interface to the 'Azure Machine Learning' Software Development Kit ('SDK'). Data scientists can use the 'SDK' to train, deploy, automate, and manage machine learning models on the 'Azure Machine Learning' service. To learn more about 'Azure Machine Learning' visit the website: .

github.com/azure/azureml-sdk-for-r
Bug report File report

Key Metrics

Version 1.10.0
R ≥ 3.5.0
Published 2020-09-22 1311 days ago
Needs compilation? no
License MIT
License File
CRAN checks azuremlsdk results

Downloads

Yesterday 9 -83%
Last 7 days 361 -57%
Last 30 days 3.221 +3%
Last 90 days 8.646 -4%
Last 365 days 37.266 +25%

Maintainer

Maintainer

Diondra Peck

Diondra.Peck@microsoft.com

Authors

Diondra Peck

cre / aut

Minna Xiao

aut

AzureML R SDK Team

ctb

Microsoft

cph / fnd

Google Inc.

cph

(Examples and Tutorials)

The TensorFlow Authors

cph

(Examples and Tutorials)

RStudio Inc.

cph

(Examples and Tutorials)

Material

README
Reference manual
Package source

Vignettes

Set up an Azure ML workspace
Deploy a web service to Azure Kubernetes Service
Deploying models
A Deeper Dive into Experiments
Hyperparameter tune a Keras model
Install the Azure ML SDK for R
Train and deploy your first model with Azure ML
Train a TensorFlow model
Known issues and troubleshooting

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

azuremlsdk archive

Depends

R ≥ 3.5.0

Imports

ggplot2
reticulate ≥ 1.12
plyr ≥ 1.8
DT
rstudioapi ≥ 0.7
htmltools
servr
shiny
shinycssloaders

Suggests

rmarkdown
knitr
testthat
dplyr
jsonlite
foreach
iterators
utils