def _derivative_predict(self, params, exog=None, transform='dydx'):
        if exog is None:
            exog = self.exog
        dF = self.pdf(np.dot(exog, params))[:,None] * exog
        if 'ey' in transform:
            dF /= self.predict(params, exog)[:,None]
        return dF
Get values from `tabSingles` (Single DocTypes) (internal).
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/discrete/discrete_model.py/BinaryModel._derivative_predict--crossover with--dataset/ETHPy150Open frappe/frappe/frappe/database.py/Database.get_values_from_single