Conformal Module

The ex_fuzzy.conformal module provides conformal prediction utilities for fuzzy classifiers.

Overview

This module wraps fuzzy classifiers to output prediction sets with coverage guarantees and supports evaluation of empirical coverage.

Classes

ConformalFuzzyClassifier

evaluate_conformal_coverage

Examples

from ex_fuzzy.conformal import ConformalFuzzyClassifier, evaluate_conformal_coverage
from sklearn.model_selection import train_test_split

X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=0)
X_cal, X_test, y_cal, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=0)

conf_clf = ConformalFuzzyClassifier(nRules=20, nAnts=4)
conf_clf.fit(X_train, y_train, X_cal, y_cal, n_gen=50, pop_size=50)

pred_sets = conf_clf.predict_set(X_test, alpha=0.1)
metrics = evaluate_conformal_coverage(conf_clf, X_test, y_test, alpha=0.1)