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@@ -42,17 +42,19 @@ Works with Linux, Windows and macOS environments.
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2. Run `make` and add your credentials to the newly created `.env` file in the root of the repo.
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3.Add your Azure `config.json` to the root of this project. See [Azure ML Configuration Guide](./docs/AZURE_ML_CONFIG.md) for detailed instructions on setting up an Azure Workspace and Subscription, and downloading your `config.json` file.
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3.Create an Azure account. See this summary for account configuration important details that you'll need to address in order for Azure AI AutomatedML batch jobs to run correctly: [Azure Account Setup for AutoML](./docs/AZURE_ACCOUNT_SETUP.md)
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4. Add your Kaggle Api key to [.kaggle/kaggle.json](./.kaggle/kaggle.json), which you can generate from [https://www.kaggle.com/settings/account](https://www.kaggle.com/settings/account).
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4. Add your Azure `config.json`to the root of this project. See [Azure ML Configuration Guide](./docs/AZURE_ML_CONFIG.md) for detailed instructions on setting up an Azure Workspace and Subscription, and downloading your `config.json` file.
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5. Install and configure Azure cli. On Mac `brew install azure-cli`. On Windows download from [https://aka.ms/installazurecliwindows](https://aka.ms/installazurecliwindows).
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5. Add your Kaggle Api key to [.kaggle/kaggle.json](./.kaggle/kaggle.json), which you can generate from [https://www.kaggle.com/settings/account](https://www.kaggle.com/settings/account).
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6. Install and configure Azure cli. On Mac `brew install azure-cli`. On Windows download from [https://aka.ms/installazurecliwindows](https://aka.ms/installazurecliwindows).
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-`az login`
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-`az account list --output table`
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-`az account set --subscription "your-subscription-id-or-name"`
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6. Initialize, build and run the application locally.
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7. Initialize, build and run the application locally.
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