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d597507 May 6, 2018
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Quickstart: create an AI project from Azure Marchine Learning Gallery in Visual Studio Code

Exploring project samples

Visual Studio Code Tools for AI comes with a Sample Explorer via integration with Azure Machine Learning. The Sample Explorer makes it easy to discover samples and try them with only a few clicks.

[!TIP] You will need Azure Machine Learning Workbench to be installed. See instructions at How to install Azure Machine Learning Workbench

To open the explorer, do as follow:

  1. Open the command palette (View > Command Palette or Ctrl+Shift+P).
  2. Enter "ML Sample".
  3. You get a recommendation for "AI: Open Azure ML Sample Explorer", select it and press enter.

sample explorer

Creating a new project from the sample explorer

You can browse different samples and get more information about them. Let's browse until finding the "Classifying Iris" sample.

To create a new project based on this sample do the following:

  1. Click install button on the project sample, notice the commands being prompted, walking you through the steps of creating a new project.
  2. Enter a name for the project, for example "Iris".
  3. Select an account
  4. Select a workspace
  5. Select a project folder to create your project

project folder

The project will then be created in the specified folder.

[!TIP] You will need to be logged-in to access your Azure resource.

Login to access Azure ML resource

To login , please right click the "Azure ML" node in AI EXPLORER and click "AI: Azure ML - Login" to start. You can also execute command "AI: Azure - Login" in Command Palette.

AzureML Login

Then please follow the instructions on screen to finish login process.

  1. Azure device login

device login

  1. Set subscription

set subscription

[!TIP] You will need to finish the login process within 300 seconds.