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aml-dask-interactive

This sample shows you how to provision interactive Dask cluster in Azure Machine Learning Workspace.

Prerequisite

[ v ] Azure Subscription

[ v ] An account with contributor role of a Resource Group or Azure Machine Learning Service

[ v ] Azure Machine Learning Service

[ v ] (Optional) Azure Virtual Network

[ v ] Puttygen

Architecture Diagram

architecture

Steps

Make sure you have access to Azure Machine Learning Workspace with contributor role.

1. Create CI (Compute Instance) in AML

Create CI or you can use your local machine. Make sure you have Azure Machine Learning SDK for Python install.

2. Clone this git repo from AML Notebook

architecture

3. Run notebook 'GetStartDask'

architecture

4. Stop 'GetStartDask' run

Stop the Run to terminate the Compute Cluster

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Create interactive DASK cluster on AML using Compute Cluster

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