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fixed 🐛 in merge
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miguelgfierro committed Sep 10, 2019
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1 change: 1 addition & 0 deletions AUTHORS.md
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Expand Up @@ -11,6 +11,7 @@ They have admin access to the repo and provide support reviewing issues and pull
* SAR single node improvements
* Reco utils metrics computations
* Tests for Surprise
* Model selection notebooks (AzureML for SVD, NNI)
* **[Jeremy Reynolds](https://github.com/jreynolds01)**
* Reference architecture
* **[Jun Ki Min](https://github.com/loomlike)**
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -10,6 +10,8 @@ This repository contains examples and best practices for building recommendation
Several utilities are provided in [reco_utils](reco_utils) to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. See the [reco_utils documentation](https://readthedocs.org/projects/microsoft-recommenders/).


For a more detailed overview of the repository, please see the documents at the [wiki page](https://github.com/microsoft/recommenders/wiki/Documents-and-Presentations).

## Getting Started
Please see the [setup guide](SETUP.md) for more details on setting up your machine locally, on Spark, or on [Azure Databricks](SETUP.md#setup-guide-for-azure-databricks).

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