def apply_calibration()

in neuron-explainer/neuron_explainer/explanations/calibrated_simulator.py [0:0]


    def apply_calibration(self, values: Sequence[float]) -> list[float]:
        if self._regression is None:
            raise ValueError("Must call calibrate() before apply_calibration")
        if len(values) == 0:
            return []
        return self._regression.predict(np.reshape(np.array(values), (-1, 1))).tolist()