evaluation.py 文件源码

def calc_fitness(self,X,labels,fit_choice,sel):
        """computes fitness of individual output yhat.
        yhat: output of a program.
        labels: correct outputs
        fit_choice: choice of fitness function
        """

        if 'lexicase' in sel:
            # return list(map(lambda yhat: self.f_vec[fit_choice](labels,yhat),X))
            return np.asarray(
                              [self.proper(self.f_vec[fit_choice](labels,
                                                        yhat)) for yhat in X],
                                                        order='F')
            # return list(Parallel(n_jobs=-1)(delayed(self.f_vec[fit_choice])(labels,yhat) for yhat in X))
        else:
            # return list(map(lambda yhat: self.f[fit_choice](labels,yhat),X))
            return np.asarray([self.f[fit_choice](labels,yhat) for yhat in X],
                            order='F').reshape(-1)

            # return list(Parallel(n_jobs=-1)(delayed(self.f[fit_choice])(labels,yhat) for yhat in X))