code: def forward(self, X):
      return self._estimate_weighted_log_prob(X).argmax(axis=1)
  
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 2 for calling the BayesianGaussianMixture obj's underlying member method code with example usage: obj.forward(X) and returns: self