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StatMixedML authored Aug 10, 2023
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Expand Up @@ -66,7 +66,7 @@ Our framework is built upon PyTorch and Pyro, enabling users to harness a divers
Please visit the [example section](https://statmixedml.github.io/XGBoostLSS/examples/Gaussian_Regression/) for guidance on how to use the framework.

## `Documentation`
For more comprehensive information and context, please visit the [documentation](https://statmixedml.github.io/XGBoostLSS/).
For more information and context, please visit the [documentation](https://statmixedml.github.io/XGBoostLSS/).

## `Feedback`
We encourage you to provide feedback on how to enhance XGBoostLSS or request the implementation of additional distributions by opening a [new discussion](https://github.com/StatMixedML/XGBoostLSS/discussions).
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