52 lines
2 KiB
Markdown
52 lines
2 KiB
Markdown
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# Azure ML Lesson 2
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## How to install all the tools in a nutshell.
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A host running **Ubuntu 22.04** is expected. If you have a Windows system or Mac, download Virtualbox and setup a VM or WSL2 with Ubuntu 22.04.
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**Anaconda/Miniconda** must be installed. See [here](https://docs.docker.com/desktop/install/windows-install/) and [here](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html), respectively.
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Run the following commands to install Azure CLI:
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```bash
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curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
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```
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Configure the Azure CLI
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```bash
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az login
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```
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Install Azure ML CLI
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```bash
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az extension add -n ml -y
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```
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Create a Conda environment to work with Azure in. At this moment, there are [problems with Python 3.9](https://github.com/Azure/MachineLearningNotebooks/issues/1285), so use Python 3.12.
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```bash
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conda create --name azure_ml -y python=3.12 pip
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conda activate azure_ml
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# Install linting, formatting and additional libraries
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pip install flake8 black isort joblib azure-ai-ml azure-identity
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```
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You now have a Conda environment called `azure_ml` containing the AzureML SDK.
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Install Visual Studio Code as shown [here](https://code.visualstudio.com/download).
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Once you've installed VS Code, configure its plugins and tell it to use the
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Python interpreter with the `azure_ml` environment.
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- Run VS Code and install vscode-icons, python, Code Spell Checker and Azure Machine Learning extensions
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- Go into Azure Machine Learning and log in. Check that you have access to your workspace.
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- Install Flake8, Black formatter and isort Microsoft extensions.
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- Select a Python interpreter
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- Python is an interpreted language, and in order to run Python code and get Python IntelliSense, you must tell VS Code which interpreter to use.
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- From within VS Code, select a Python 3 interpreter by opening the Command
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Palette (Ctrl+Shift+P) and searching for: `Python: Select Interpreter`...
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- ... then select the environment named `azure_ml`.
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