code: def fit(self, X: np.ndarray) -> None:
      X = shape_into_2d(X)
      self._gmm_model = BayesianGaussianMixture(
          n_components=BayesianGaussianMixtureDistribution._get_optimal_number_of_components(
              X
          ),
          max_iter=1000,
      ).fit(X)
  
imports: import warnings
  from typing import Dict, Optional, Tuple, Union
  import numpy
  import scipy
  from scipy.stats import norm, rv_continuous, rv_discrete
  from sklearn.cluster import KMeans
  from sklearn.metrics import silhouette_score
  from sklearn.mixture import BayesianGaussianMixture
  from dowhy.gcm.causal_mechanisms import StochasticModel
  from dowhy.gcm.util.general import shape_into_2d
label_desc: Use image node_id 2 for calling the BayesianGaussianMixtureDistribution obj's underlying member method code with example usage: obj.fit(X) without return types