Parameters: { "scoring" } are not used.

As an AI language model, I cannot provide context for this statement. However, in general, if parameters such as "scoring" are not used, it may suggest that they are unnecessary or not relevant to the task at hand. It could also mean that the code or script may need to be revised to include the use of these parameters if they are indeed important for the desired outcome.

相关问题

运用网格搜索出现Parameters: { "scoring" } are not used.错误，怎么修改

出现 "Parameters: { 'scoring' } are not used." 错误通常是由于网格搜索中定义了评分函数，但在实际运行中没有使用它。为了解决这个问题，你可以在创建 GridSearchCV 对象时指定评分函数。例如：

from sklearn.model_selection import GridSearchCV
from sklearn.metrics import accuracy_score

param_grid = {...}  # 定义你要搜索的参数范围

clf = DecisionTreeClassifier()  # 定义分类器

# 创建 GridSearchCV 对象，并指定评分函数为 accuracy_score
grid_search = GridSearchCV(clf, param_grid, scoring='accuracy_score')

# 运行网格搜索
grid_search.fit(X_train, y_train)

# 输出最佳模型的参数和得分
print("Best parameters: ", grid_search.best_params_)
print("Best score: ", grid_search.best_score_)

在这个例子中，我们使用了 `accuracy_score` 作为评分函数，并在创建 GridSearchCV 对象时指定了它。这样就可以避免出现 "Parameters: { 'scoring' } are not used." 的错误了。