def predict(self, T):
        T = column_or_1d(T)
        return 1. / (1. + np.exp(self.a_ * T + self.b_))
Predict new data by linear interpolation.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/calibration.py/_SigmoidCalibration.predict