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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 hazard_at_times(self, times, label=None):
 """ Return a Pandas series of the predicted hazard at specific times. Parameters times: iterable or float values to return the hazard at. label: string, optional Rename the series returned. Useful for plotting. Returns -------- pd.Series """

        label = coalesce(label, self._label)
        return pd.Series(self._hazard(self._fitted_parameters_, times), index=_to_array(times), name=label)