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articles/machine-learning/v1/how-to-set-up-training-targets.md

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## Git tracking and integration
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When you start a training job where the source directory is a local Git repository, information about the repository is stored in the job history. For more information, see [Git integration for Azure Machine Learning](concept-train-model-git-integration.md).
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When you start a training job where the source directory is a local Git repository, information about the repository is stored in the job history. For more information, see [Git integration for Azure Machine Learning](../concept-train-model-git-integration.md).
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## Notebook examples
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Internally, Azure ML concatenates the blocks with the same metric name into a contiguous list.
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* **Compute target takes a long time to start**: The Docker images for compute targets are loaded from Azure Container Registry (ACR). By default, Azure Machine Learning creates an ACR that uses the *basic* service tier. Changing the ACR for your workspace to standard or premium tier may reduce the time it takes to build and load images. For more information, see [Azure Container Registry service tiers](container-registry/container-registry-skus.md).
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* **Compute target takes a long time to start**: The Docker images for compute targets are loaded from Azure Container Registry (ACR). By default, Azure Machine Learning creates an ACR that uses the *basic* service tier. Changing the ACR for your workspace to standard or premium tier may reduce the time it takes to build and load images. For more information, see [Azure Container Registry service tiers](../../container-registry/container-registry-skus.md).
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## Next steps
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