class_docstr: Represents any parametric distribution that can be modeled by scipy.
code: def parameters(self) -> Dict[str, float]:
      return self._parameters
  
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 4 for calling the ScipyDistribution obj's underlying member method code with example usage: obj.parameters() and returns: self