56 lines
2.0 KiB
Markdown
56 lines
2.0 KiB
Markdown
# Setting up environment
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---
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To run the notebooks in this repository use one of the two options.
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## Option 1: Use Azure Notebooks
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Azure Notebooks is a hosted Jupyter-based notebook service in the Azure cloud. Azure Machine Learning Python SDK is already pre-installed in the Azure Notebooks `Python 3.6` kernel.
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1. [](https://aka.ms/aml-clone-azure-notebooks)
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[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks
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1. Follow the instructions in the [Configuration](configuration.ipynb) notebook to create and connect to a workspace
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1. Open one of the sample notebooks
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**Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook
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## **Option 2: Use your own notebook server**
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### Quick installation
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We recommend you create a Python virtual environment ([Miniconda](https://conda.io/miniconda.html) preferred but [virtualenv](https://virtualenv.pypa.io/en/latest/) works too) and install the SDK in it.
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```sh
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# install just the base SDK
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pip install azureml-sdk
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# clone the sample repoistory
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git clone https://github.com/Azure/MachineLearningNotebooks.git
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# below steps are optional
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# install the base SDK and a Jupyter notebook server
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pip install azureml-sdk[notebooks]
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# install the data prep component
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pip install azureml-dataprep
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# install model explainability component
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pip install azureml-sdk[explain]
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# install automated ml components
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pip install azureml-sdk[automl]
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# install experimental features (not ready for production use)
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pip install azureml-sdk[contrib]
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```
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### Full instructions
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[Install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python)
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Please make sure you start with the [Configuration](configuration.ipynb) notebook to create and connect to a workspace.
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### Video walkthrough:
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[](https://youtu.be/VIsXeTuW3FU)
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