optimizer.py 文件源码

def cv(self, estimator_params):

                if self.ptypes != None:

                        if self.ptypes == 'int':
                                for key in estimator_params.keys():
                                        estimator_params[key] = int(estimator_params[key])

                        else:
                                for key in self.ptypes.keys():
                                        estimator_params[key] = self.ptypes[key](estimator_params[key])

                if self.pfixed != None:
                        for key in self.pfixed.keys():
                                estimator_params[key] = self.pfixed[key]

                if self.plist != None:
                        for key in self.plist.keys():
                                estimator_params[key] = self.plist[key][int(estimator_params[key]) - 1]


                self.estimator.set_params(**estimator_params)
                v = self.estimator.evaluate(self.cv_params['X'])
                return v

#               self.cv_params['estimator'] = estim


#               cvscore = cross_val_score(**self.cv_params)
#               return numpy.mean(cvscore)

        # --------------------------------------------- // --------------------------------------------- #