This paper summarizes the theoretical foundings of the CBC, as well as it applies to 2 sparse use-cases: classification and regression. The paper is presented as Jupyter notebook in Google Collab.
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View Code? Open in Web Editor NEWConformal Bayesian Computation (CBC). This paper summarizes the theoretical foundings of the CBC, as well as it applies to 2 use-cases: classification and regression.
Home Page: https://colab.research.google.com/drive/19RVitM3r1hUzt3yJFh2UumWPQYGqjG3Z?usp=sharing
License: GNU Affero General Public License v3.0