Mitra Regressor Mitra regressor is a tabular foundation model that is pre trained on purely synthetic datasets sampled from a mix of random regressors. Architecture Mitra is based on a 12 layer Transformer of 72 M parameters, pre trained by incorporating an in context learning paradigm. Usage To use Mitra regressor, install AutoGluon by running: A minimal example showing how to perform inference using the Mitra regressor: License This project is licensed under the Apache 2.0 License. Reference Amazon Science blog: Mitra: Mixed synthetic priors for enhancing tabular foundation models
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