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The imputation and model pipelines for the INFORM Severity data.

Ridge Regression with 88% accuracy(alpha=25 and 10-fold CV)

LightGBM with 99% accuracy (10 fold CV and reg_alpha: 1.96248962962756, reg_lambda: 4.688549449064171)

There is a 1 single pipeline for FeatureEngineering, Categorical encoding, Transformations and Imputations.

We just need to deploy the final_pipelines for both the models stored in file: final_pipe.pkl

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The model cannot be deployed to the HF Inference API: The HF Inference API does not support time-series-forecasting models for transformers library.