Source code for fortuna.conformal.regression.batch_mvp
from fortuna.conformal.multivalid.iterative.batch_mvp import BatchMVPConformalMethod
from fortuna.conformal.regression.base import ConformalRegressor
[docs]class BatchMVPConformalRegressor(BatchMVPConformalMethod, ConformalRegressor):
def __init__(self, seed: int = 0):
"""
This class implements a classification version of BatchMVP
`[Jung et al., 2022] <https://arxiv.org/abs/2209.15145>`_,
a multivalid conformal prediction method that satisfies coverage guarantees conditioned on group membership
and non-conformity threshold.
Parameters
----------
seed: int
Random seed.
"""
super().__init__(seed=seed)