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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def prob(self, comparison_vectors, return_type=None):
 """Compute the probabilities for each record pair. For each pair of records, estimate the probability of being a match. Parameters comparison_vectors : pandas.DataFrame The dataframe with comparison vectors. return_type : str Deprecated. (default 'series') Returns ------- pandas.Series or numpy.ndarray The probability of being a match for each record pair. """

        if return_type is not None:
            warnings.warn("The argument 'return_type' is removed. "
                          "Default value is now 'series'.",
                          VisibleDeprecationWarning, stacklevel=2)

        logging.info("Classification - compute probabilities")

        prob_match = self._prob_match(comparison_vectors.values)
        return pandas.Series(prob_match, index=comparison_vectors.index)