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azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'
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: <https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.
Getting started
README.md
A Deeper Dive into Experiments"
Deploy a web service to Azure Kubernetes Service
Deploying models
Hyperparameter tune a Keras model
Install the Azure ML SDK for R
Known issues and troubleshooting
Set up an Azure ML workspace
Train and deploy your first model with Azure ML
Train a TensorFlow model
Browse package contents
Package details |
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| Author | 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) |
| Maintainer | Diondra Peck <Diondra.Peck@microsoft.com> |
| License | MIT + file LICENSE |
| Version | 1.10.0 |
| URL | https://github.com/azure/azureml-sdk-for-r |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the azuremlsdk package in your browser
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