def _derivative_predict(self, params, exog=None, transform='dydx'):
        if exog is None:
            exog = self.exog
        #NOTE: this handles offset and exposure
        dF = self.predict(params, exog)[:,None] * exog
        if 'ey' in transform:
            dF /= self.predict(params, exog)[:,None]
        return dF
returns the tokens
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/discrete/discrete_model.py/CountModel._derivative_predict--crossover with--dataset/ETHPy150Open datamade/dedupe/dedupe/predicates.py/tokenFieldPredicate