Tabular Classification
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@@ -54,8 +54,8 @@ Then it can be imported as:
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  >>> from autogluon.tabular import TabularPredictor
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  Note that to perform operations with our model the **0.8.2 version** must be used
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- To use the model and make predictions, we show two full code examples using the [full feature matrix]([machine_learning/generating_predictions_w_DirectContacts2.ipynb](https://github.com/KDrewLab/DirectContacts2_analysis/blob/main/machine_learning/generating_predictions_w_DirectContacts2.ipynb)
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- and the [test feature matrix](machine_learning/DirectContacts2_testing.ipynb) in jupyter notebooks.
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  All feature matrices can be pulled using the 'datasets' module from HuggingFace and examples of that are seen on our [GitHub](https://github.com/KDrewLab/DirectContacts2_analysis.git)
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  and on our [DirectContacts2 HuggingFace dataset](https://huggingface.co/datasets/sfisch/DirectContacts2)
 
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  >>> from autogluon.tabular import TabularPredictor
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  Note that to perform operations with our model the **0.8.2 version** must be used
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+ To use the model and make predictions, we show two full code examples using the [full feature matrix](https://github.com/KDrewLab/DirectContacts2_analysis/blob/main/machine_learning/generating_predictions_w_DirectContacts2.ipynb)
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+ and the [test feature matrix](https://github.com/KDrewLab/DirectContacts2_analysis/blob/main/machine_learning/DirectContacts2_testing.ipynb) in jupyter notebooks.
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  All feature matrices can be pulled using the 'datasets' module from HuggingFace and examples of that are seen on our [GitHub](https://github.com/KDrewLab/DirectContacts2_analysis.git)
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  and on our [DirectContacts2 HuggingFace dataset](https://huggingface.co/datasets/sfisch/DirectContacts2)