Is there any way to get slope and intercept params for sigmoid calibration?
model_svc = SVC(kernel='linear').fit(X_train, y_train)
model_svc = CalibratedClassifierCV(base_estimator=model_svc, cv="prefit", method='sigmoid').fit(X_train, y_train)
So, what should I do with model_svc in this case to get these params?
