dsleo

from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from conformal.conformal_predictor import InductiveConformalPredictor

data = load_digits()
X, y = data.data, data.target
alpha = 0.05
seed = 41

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,

dsleo

import numpy as np
import bisect
from sklearn.preprocessing import LabelEncoder, MultiLabelBinarizer
from sklearn.utils.validation import check_is_fitted


class InductiveConformalPredictor():
    """
    Standard Conformal Predictor with uncertainty non-conformity score.