class_docstr: Describes a tfp.distribution.Distribution.
docstr: Creates an instance of the described distribution.
  
  The spec's paramers are updated with the given ones.
  Args:
    **distribution_parameters: Kwargs update the spec's distribution
      parameters.
  
  Returns:
    Distribution instance.
docstr_tok: ["Creates","an","instance","of","the","described","distribution",".","The","spec","'s","paramers","are","updated","with","the","given","ones",".","Args",":","*","*","distribution_parameters",":","Kwargs","update","the","spec","'s","distribution","parameters",".","Returns",":","Distribution","instance","."]
code: def build_distribution(self, **distribution_parameters):
      """Creates an instance of the described distribution.
  
      The spec's paramers are updated with the given ones.
      Args:
        **distribution_parameters: Kwargs update the spec's distribution
          parameters.
  
      Returns:
        Distribution instance.
      """
      kwargs = self._distribution_parameters.copy()
      kwargs.update(distribution_parameters)
      return self._builder(**kwargs)
  
file_path: agents/tf_agents/specs/distribution_spec.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow_probability
  from tensorflow.python.util import nest
label_desc: Use image node_id 6 for calling the DistributionSpec obj's underlying member method code with example usage: obj.build_distribution() and returns: self