def objective(self, params):
val = self._penalty * np.sum(params**<NUM_LIT:2>)<EOL>for win, los in self._data:<EOL><INDENT>val += np.logaddexp(<NUM_LIT:0>, -(params[win] - params[los]))<EOL><DEDENT>return val<EOL>
Compute the negative penalized log-likelihood.