code: def _estimate_weighted_log_prob(self, X):
      return self._estimate_log_prob(X) + self._estimate_log_weights()
  
file_path: hummingbird/hummingbird/ml/operator_converters/_mixture_implementations.py
imports: import torch
  import torch.nn
  from ._physical_operator import PhysicalOperator
label_desc: Use image node_id 3 for calling the BayesianGaussianMixture obj's underlying member method code with example usage: obj._estimate_weighted_log_prob(X) and returns: unknown