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README.md
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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](
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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)
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