python - Jupyter 实验室未打印 sklearn 模型的所有参数

Question

我已经使用 jupyter 实验室几个月了，每次运行 sklearn 模型时，输出都是这样的:

from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier(criterion="entropy", max_depth = 4)
clf 

过去显示了这个输出:

DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
                      max_depth=4, max_features=None, max_leaf_nodes=None,
                      min_impurity_decrease=0.0, min_impurity_split=None,
                      min_samples_leaf=1, min_samples_split=2,
                      min_weight_fraction_leaf=0.0, presort='deprecated',
                      random_state=None, splitter='best')

但现在它只显示我实际设置的参数:

DecisionTreeClassifier(criterion='entropy', max_depth=4)

有人知道如何让 Jupyter 再次显示完整的参数列表吗？

Answer 1

这是名为 print_only_changed 的新功能在 0.23 版本中。所以不要向下滚动到以前的版本，只需设置print_only_changed选项为 False .

from sklearn import set_config
from sklearn.tree import DecisionTreeClassifier

clf = DecisionTreeClassifier(criterion="entropy", max_depth = 4)

set_config(print_changed_only=True)
clf 
# DecisionTreeClassifier(criterion='entropy', max_depth=4)

set_config(print_changed_only=False)
clf 
# DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
#                        max_depth=4, max_features=None, max_leaf_nodes=None,
#                        min_impurity_decrease=0.0, min_impurity_split=None,
#                        min_samples_leaf=1, min_samples_split=2,
#                        min_weight_fraction_leaf=0.0, presort='deprecated',
#                        random_state=None, splitter='best')