original_docstring: Compute the unnormalized posterior log-likelihood of x in mini-batches.
  
          The log-likelihood is `log P(c) + log P(x|c)`.
  
          
docstring: Compute the unnormalized posterior log-likelihood of x in mini-batches.
docstring_tokens: Compute the unnormalized posterior log - likelihood of x in mini - batches .
code: def joint_log_likelihood_many(self, X: pd.DataFrame) -> pd.DataFrame:
          """Compute the unnormalized posterior log-likelihood of x in mini-batches.
  
          The log-likelihood is `log P(c) + log P(x|c)`.
  
          """
code_tokens: def joint_log_likelihood_many ( self , X : pd . DataFrame ) -> pd . DataFrame :
short_docstring: Compute the unnormalized posterior log-likelihood of x in mini-batches.
short_docstring_tokens: Compute the unnormalized posterior log - likelihood of x in mini - batches .
comment: """Compute the unnormalized posterior log-likelihood of x in mini-batches.
  
          The log-likelihood is `log P(c) + log P(x|c)`.
  
          """