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()