Adds asymmetric conformal Bayesian prediction for both classification and regression.
Details:
Asymmetric means we estimate the positive and negative residual quantiles separately.
Bayesian means the nonconformity measure is that of Gaussian Processes.
To construct the confidence interval we apply linear quantile regression on the leave-one-out residuals given the leave-one-out nonconformity measures.
Adds asymmetric conformal Bayesian prediction for both classification and regression.
Details: