class_docstr: Class to calculate probability (pmf) values specific to Bayesian Models
docstr: Class to calculate probability (pmf) values specific to Bayesian Models
  
  Parameters
  ----------
  model: Bayesian Model
      model on which inference queries will be computed
code: def __init__(self, model):
      """
      Class to calculate probability (pmf) values specific to Bayesian Models
  
      Parameters
      ----------
      model: Bayesian Model
          model on which inference queries will be computed
      """
      super(BayesianModelProbability, self).__init__(model)
  
file_path: pgmpy/pgmpy/metrics/bn_inference.py
imports: import numpy
  import pandas
  from pgmpy.sampling import BayesianModelInference
label_desc: Use image node_id 1 to create a new BayesianModelProbability object from inherited base classes: BayesianModelInference with example: obj = BayesianModelProbability(model)