code: def _score_core_nllikelihood(
      self,
      deterministic_values: np.ndarray,
      probabilistic_estimations: np.ndarray,
  ) -> np.ndarray:
      # ML estimate for the Laplace loc
      loc = np.median(probabilistic_estimations, axis=1)
  
      # ML estimate for the Laplace scale
      # see: https://github.com/scipy/scipy/blob/de80faf9d3480b9dbb9b888568b64499e0e70c19/scipy
      # /stats/_continuous_distns.py#L4846
      scale = (
          np.sum(np.abs(probabilistic_estimations.T - loc), axis=0).T
          / probabilistic_estimations.shape[1]
      )
  
      return -laplace.logpdf(deterministic_values, loc=loc, scale=scale)
  
imports: import numpy
  from scipy.stats import laplace
  from darts.ad.scorers.scorers import NLLScorer
label_desc: Use image node_id 3 for calling the LaplaceNLLScorer obj's underlying member method code with example usage: obj._score_core_nllikelihood(deterministic_values, probabilistic_estimations) and returns: unknown