This commit is contained in:
Sheri Gilley
2018-09-25 16:03:57 -05:00
parent 6a3b814394
commit b574bfd3cf
2 changed files with 9 additions and 10 deletions

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@@ -5,23 +5,23 @@ To run the notebooks in this repository use one of these methods:
## Use Azure Notebooks - Jupyter based notebooks in the Azure cloud
1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks if they are not already there.
[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks.
1. Follow the instructions in the [00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
1. Open the notebook.
1. Open one of the sample notebooks.
**Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook.
![set kernal to Python 3.6](images/python36.png)
![set kernel to Python 3.6](images/python36.png)
## **Use your own notebook server**
1. Use [these instructions](https://aka.ms/aml-how-to-configure-environment) to configure your notebook server.
1. Setup a Jupyter Notebook server and [install the Azure Machine Learning SDK(https://aka.ms/aml-how-to-configure-environment).
1. Clone [this repository](https://aka.ms/aml-notebooks).
1. You may need to install other packages for specific notebooks
1. Start your notebook server.
1. Follow the instructions in the 00.configuration notebook to create and connect to a workspace.
1. Open the notebook you want to run.
1. Follow the instructions in the `00.configuration` notebook to create and connect to a workspace.
1. Open one of the sample notebooks.
> Note: **Looking for automated machine learning samples?**
> For your convenience, you can use an installation script instead of the steps below for the automated ML notebooks. Go to the [automl folder README](automl/README.md) and follow the instructions. The script installs all packages needed for notebooks in that folder.

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@@ -20,14 +20,13 @@ If you are an experienced data scientist, AutoML will help increase your product
## Use Azure Notebooks - Jupyter based notebooks in the Azure cloud
1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks if they are not already there.
[Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks.
1. Follow the instructions in the [../00.configuration](00.configuration.ipynb) notebook to create and connect to a workspace.
1. Open the notebook.
1. Open one of the sample notebooks.
**Make sure the Azure Notebook kernel is set to `Python 3.6`** when you open a notebook.
![set kernal to Python 3.6](../images/python36.png)
![set kernel to Python 3.6](../images/python36.png)
<a name="localconda"></a>
## Running samples in a Local Conda environment