a81db6daadd1304e96916c34a894d83dd4dc75bd,skopt/wrappers/scikit_learn.py,SkoptSearchCV,step,#SkoptSearchCV#,248

Before Change

        cv = skms.check_cv(self.cv, y, classifier=skms.is_classifier(self.estimator))
        self.scorer_ = skms.check_scoring(self.estimator, scoring=self.scoring)

        pd = self.param_distributions

        if self.optimizer is None:
            dimensions = [pd[k] for k in sorted(pd.keys())]
            self.optimizer = Optimizer(dimensions, GaussianProcessRegressor())

        params = self.optimizer.ask()
        params_dict = {k: v for k,v in zip(sorted(pd.keys()), params)}

        cv_iter = list(cv.split(X, y, groups))

After Change

        key = str(param_space)

        if key not in self.optimizer:
            self.optimizer[key] =  self._make_optimizer(param_space)

        optimizer = self.optimizer[key]

        params = optimizer.ask()
        params_dict = self._skopt_to_dict(param_space, params)

Instances